WTC neuroimaging meeting 04-06-22

All exposures, CTQ, TLEQ data now cleaned. Just waiting on index_j for n=16, who Zoe/Thomasina will call. No exposures data for NWTC-091 yet (will be in next request from data center). All of the analyses here use the group assignment where 3 exposures = Lower-exposed group

Summary

TLEQ:
- None of the chi square tests on the TLEQ item-level unweighted (i.e., binarized) variables were statistically significant using Fisher’s exact test with a threshold of p < 0.0007 (.05/(3 groups*23 items)).
- Linear models predicting TLEQ totals from group used a threshold of p < .004 (.05/3*4)
- There was a significant omnibus effect of group ONLY on non-weighted TLEQ total (includes childhood trauma)
  - Post-hoc comparisons using same p <.004 threshold indicated that the PTSD group had higher scores vs. the Low-exposed group (p = .0012) (and possibly the Resilient group, p = .0046). Low-exposed and Resilient groups were not significantly different from each other in terms of non-weighted TLEQ total scores.
CTQ:
- Linear models predicting CTQ scores from group used a threshold of p < .003 (.05/(3*6))
- There was a significant omnibus effect of group on the CTQ total as well as the other CTQ subscales except for CTQ sexual abuse
  - Post-hoc comparisons using same p <.003 threshold indicated that the PTSD group had higher scores compared to the other two groups.
    - Resilient and Low-exposed groups did not differ from each other.
WTC exposures:
- Chi square tests for group differences on the exposure variables index_a (arrived 9/11-9/13), index_c (worked on or adjacent to pit/pile), index_h (know someone injured) were statistically significant using Fisher’s exact test with a threshold of p < 0.00167 (.05/(3*10)).
- Note:
  - n = 16 still missing index_j (slept on site) (Zoe is calling)
  - Still need to check that same median was used to determine index_d (worked >median # hours)
  - No exposures data for NWTC-091 yet (will be in next request from data center).

Groups when 3 exposures = lower-exposed

Groups in REDCap

As currently listed in REDCap:

Groups when 3 exposures = resilient

Groups are more balanced when 3 exposures = lower-exposed, so we will go with that.

TLEQ items (non-weighted)

Figure: TLEQ items (non-weighted) by group

Blue = proportion of group endorsing at least one incidence of a given event. Red = Never experienced that event.

Chi square tests of association between group and TLEQ items (non-weighted)

Bonferroni correction will be p < 0.0007 (.05/(3*23))

TLEQ item 1

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

==============================================================
                      data$group_3low
data$use.tleq_1bin    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------------
0                               5        2          12      19
expected                      5.0      5.5         8.5        
row prop.                   0.263    0.105       0.632   0.275
std. res.                   0.020   -1.495       1.186        
--------------------------------------------------------------
1                              13       18          19      50
expected                     13.0     14.5        22.5        
row prop.                   0.260    0.360       0.380   0.725
std. res.                  -0.012    0.921      -0.731        
--------------------------------------------------------------
Total                          18       20          31      69
==============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.076

TLEQ item 2

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

==============================================================
                      data$group_3low
data$use.tleq_2bin    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------------
0                              13        8          21      42
expected                     11.0     12.2        18.9        
row prop.                   0.310    0.190       0.500   0.609
std. res.                   0.617   -1.196       0.490        
--------------------------------------------------------------
1                               5       12          10      27
expected                      7.0      7.8        12.1        
row prop.                   0.185    0.444       0.370   0.391
std. res.                  -0.770    1.492      -0.612        
--------------------------------------------------------------
Total                          18       20          31      69
==============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0875

TLEQ item 3

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

==============================================================
                      data$group_3low
data$use.tleq_3bin    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------------
0                              14        8          21      43
expected                     11.2     12.5        19.3        
row prop.                   0.326    0.186       0.488   0.623
std. res.                   0.831   -1.264       0.382        
--------------------------------------------------------------
1                               4       12          10      26
expected                      6.8      7.5        11.7        
row prop.                   0.154    0.462       0.385   0.377
std. res.                  -1.068    1.626      -0.492        
--------------------------------------------------------------
Total                          18       20          31      69
==============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0413

TLEQ item 4

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

==============================================================
                      data$group_3low
data$use.tleq_4bin    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------------
0                              14       15          29      58
expected                     15.1     16.8        26.1        
row prop.                   0.241    0.259       0.500   0.841
std. res.                  -0.291   -0.442       0.576        
--------------------------------------------------------------
1                               4        5           2      11
expected                      2.9      3.2         4.9        
row prop.                   0.364    0.455       0.182   0.159
std. res.                   0.667    1.015      -1.323        
--------------------------------------------------------------
Total                          18       20          31      69
==============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.128

TLEQ item 5

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

==============================================================
                      data$group_3low
data$use.tleq_5bin    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------------
0                               5        0           5      10
expected                      2.6      2.9         4.5        
row prop.                   0.500    0.000       0.500   0.145
std. res.                   1.481   -1.703       0.239        
--------------------------------------------------------------
1                              13       20          26      59
expected                     15.4     17.1        26.5        
row prop.                   0.220    0.339       0.441   0.855
std. res.                  -0.610    0.701      -0.099        
--------------------------------------------------------------
Total                          18       20          31      69
==============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0319

TLEQ item 6

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

==============================================================
                      data$group_3low
data$use.tleq_6bin    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------------
0                               7        5           9      21
expected                      5.5      6.1         9.4        
row prop.                   0.333    0.238       0.429   0.304
std. res.                   0.650   -0.441      -0.142        
--------------------------------------------------------------
1                              11       15          22      48
expected                     12.5     13.9        21.6        
row prop.                   0.229    0.312       0.458   0.696
std. res.                  -0.430    0.291       0.094        
--------------------------------------------------------------
Total                          18       20          31      69
==============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.635

TLEQ item 7

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

==============================================================
                      data$group_3low
data$use.tleq_7bin    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------------
0                              16       15          28      59
expected                     15.4     17.1        26.5        
row prop.                   0.271    0.254       0.475   0.855
std. res.                   0.155   -0.508       0.290        
--------------------------------------------------------------
1                               2        5           3      10
expected                      2.6      2.9         4.5        
row prop.                   0.200    0.500       0.300   0.145
std. res.                  -0.377    1.234      -0.704        
--------------------------------------------------------------
Total                          18       20          31      69
==============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.342

TLEQ item 8

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

==============================================================
                      data$group_3low
data$use.tleq_8bin    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------------
0                              13       11          19      43
expected                     11.2     12.5        19.3        
row prop.                   0.302    0.256       0.442   0.623
std. res.                   0.532   -0.415      -0.073        
--------------------------------------------------------------
1                               5        9          12      26
expected                      6.8      7.5        11.7        
row prop.                   0.192    0.346       0.462   0.377
std. res.                  -0.684    0.533       0.093        
--------------------------------------------------------------
Total                          18       20          31      69
==============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.564

TLEQ item 9

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

==============================================================
                      data$group_3low
data$use.tleq_9bin    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------------
0                              15       13          24      52
expected                     13.6     15.1        23.4        
row prop.                   0.288    0.250       0.462   0.754
std. res.                   0.390   -0.534       0.132        
--------------------------------------------------------------
1                               3        7           7      17
expected                      4.4      4.9         7.6        
row prop.                   0.176    0.412       0.412   0.246
std. res.                  -0.681    0.934      -0.231        
--------------------------------------------------------------
Total                          18       20          31      69
==============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.401

TLEQ item 10

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_10bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               13        7          17      37
expected                       9.7     10.7        16.6        
row prop.                    0.351    0.189       0.459   0.536
std. res.                    1.078   -1.137       0.092        
---------------------------------------------------------------
1                                5       13          14      32
expected                       8.3      9.3        14.4        
row prop.                    0.156    0.406       0.438   0.464
std. res.                   -1.159    1.223      -0.099        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0788

TLEQ item 11

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_11bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               12       10          17      39
expected                      10.2     11.3        17.5        
row prop.                    0.308    0.256       0.436   0.565
std. res.                    0.573   -0.388      -0.125        
---------------------------------------------------------------
1                                6       10          14      30
expected                       7.8      8.7        13.5        
row prop.                    0.200    0.333       0.467   0.435
std. res.                   -0.653    0.442       0.142        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.579

TLEQ item 12

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_12bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               17       15          30      62
expected                      16.2     18.0        27.9        
row prop.                    0.274    0.242       0.484   0.899
std. res.                    0.205   -0.701       0.406        
---------------------------------------------------------------
1                                1        5           1       7
expected                       1.8      2.0         3.1        
row prop.                    0.143    0.714       0.143   0.101
std. res.                   -0.611    2.086      -1.210        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0391

TLEQ item 13

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_13bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               15       10          24      49
expected                      12.8     14.2        22.0        
row prop.                    0.306    0.204       0.490   0.710
std. res.                    0.620   -1.115       0.423        
---------------------------------------------------------------
1                                3       10           7      20
expected                       5.2      5.8         9.0        
row prop.                    0.150    0.500       0.350   0.290
std. res.                   -0.971    1.746      -0.662        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0505

TLEQ item 14

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_14bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               17       18          27      62
expected                      16.2     18.0        27.9        
row prop.                    0.274    0.290       0.435   0.899
std. res.                    0.205    0.007      -0.162        
---------------------------------------------------------------
1                                1        2           4       7
expected                       1.8      2.0         3.1        
row prop.                    0.143    0.286       0.571   0.101
std. res.                   -0.611   -0.020       0.482        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.879

TLEQ item 15

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_15bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               17       17          28      62
expected                      16.2     18.0        27.9        
row prop.                    0.274    0.274       0.452   0.899
std. res.                    0.205   -0.229       0.027        
---------------------------------------------------------------
1                                1        3           3       7
expected                       1.8      2.0         3.1        
row prop.                    0.143    0.429       0.429   0.101
std. res.                   -0.611    0.682      -0.082        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.69

TLEQ item 16

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_16bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               17       17          30      64
expected                      16.7     18.6        28.8        
row prop.                    0.266    0.266       0.469   0.928
std. res.                    0.074   -0.360       0.232        
---------------------------------------------------------------
1                                1        3           1       5
expected                       1.3      1.4         2.2        
row prop.                    0.200    0.600       0.200   0.072
std. res.                   -0.266    1.288      -0.832        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.371

TLEQ item 17

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_17bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               18       19          28      65
expected                      17.0     18.8        29.2        
row prop.                    0.277    0.292       0.431   0.942
std. res.                    0.253    0.037      -0.223        
---------------------------------------------------------------
1                                0        1           3       4
expected                       1.0      1.2         1.8        
row prop.                    0.000    0.250       0.750   0.058
std. res.                   -1.022   -0.148       0.897        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.574

TLEQ item 18

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_18bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               17       18          31      66
expected                      17.2     19.1        29.7        
row prop.                    0.258    0.273       0.470   0.957
std. res.                   -0.052   -0.258       0.248        
---------------------------------------------------------------
1                                1        2           0       3
expected                       0.8      0.9         1.3        
row prop.                    0.333    0.667       0.000   0.043
std. res.                    0.246    1.212      -1.161        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.161

TLEQ item 19

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_19bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               17       17          29      63
expected                      16.4     18.3        28.3        
row prop.                    0.270    0.270       0.460   0.913
std. res.                    0.139   -0.295       0.131        
---------------------------------------------------------------
1                                1        3           2       6
expected                       1.6      1.7         2.7        
row prop.                    0.167    0.500       0.333   0.087
std. res.                   -0.452    0.956      -0.424        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.55

TLEQ item 20

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_20bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               14       16          29      59
expected                      15.4     17.1        26.5        
row prop.                    0.237    0.271       0.492   0.855
std. res.                   -0.355   -0.266       0.484        
---------------------------------------------------------------
1                                4        4           2      10
expected                       2.6      2.9         4.5        
row prop.                    0.400    0.400       0.200   0.145
std. res.                    0.861    0.647      -1.176        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.183

TLEQ item 21

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_21bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               11       15          18      44
expected                      11.5     12.8        19.8        
row prop.                    0.250    0.341       0.409   0.638
std. res.                   -0.141    0.629      -0.398        
---------------------------------------------------------------
1                                7        5          13      25
expected                       6.5      7.2        11.2        
row prop.                    0.280    0.200       0.520   0.362
std. res.                    0.187   -0.834       0.528        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.476

TLEQ item 22

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_22bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                               14       16          20      50
expected                      13.0     14.5        22.5        
row prop.                    0.280    0.320       0.400   0.725
std. res.                    0.265    0.396      -0.520        
---------------------------------------------------------------
1                                4        4          11      19
expected                       5.0      5.5         8.5        
row prop.                    0.211    0.211       0.579   0.275
std. res.                   -0.430   -0.642       0.843        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.455

TLEQ item 23

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

===============================================================
                       data$group_3low
data$use.tleq_23bin    Low-exposed     PTSD   Resilient   Total
---------------------------------------------------------------
0                                6        3           9      18
expected                       4.7      5.2         8.1        
row prop.                    0.333    0.167       0.500   0.261
std. res.                    0.602   -0.971       0.321        
---------------------------------------------------------------
1                               12       17          22      51
expected                      13.3     14.8        22.9        
row prop.                    0.235    0.333       0.431   0.739
std. res.                   -0.358    0.577      -0.191        
---------------------------------------------------------------
Total                           18       20          31      69
===============================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.388

TLEQ totals (weighted and non-weighted)

Figure: TLEQ totals by group

Linear models & post-hoc comparisons

Bonferroni correction will be p < 0.004 (.05/(3*4))

Total (weighted)


Call:
lm(formula = TLEQ_total_W ~ group_3low, data = data)

Residuals:
     Min       1Q   Median       3Q      Max 
-13.3000  -5.2903   0.4444   3.7000  23.7097 

Coefficients:
                    Estimate Std. Error t value     Pr(>|t|)
(Intercept)           10.556      1.717   6.149 0.0000000511
group_3lowPTSD         6.744      2.366   2.850      0.00582
group_3lowResilient    2.735      2.158   1.267      0.20957

Residual standard error: 7.283 on 66 degrees of freedom
Multiple R-squared:  0.1122,    Adjusted R-squared:  0.08525 
F-statistic: 4.169 on 2 and 66 DF,  p-value: 0.01973

$emmeans
 group_3low  emmean   SE df lower.CL upper.CL
 Low-exposed   10.6 1.72 66     7.13     14.0
 PTSD          17.3 1.63 66    14.05     20.6
 Resilient     13.3 1.31 66    10.68     15.9

Confidence level used: 0.95 

$contrasts
 contrast                  estimate   SE df t.ratio p.value
 (Low-exposed) - PTSD         -6.74 2.37 66  -2.850  0.0058
 (Low-exposed) - Resilient    -2.73 2.16 66  -1.267  0.2096
 PTSD - Resilient              4.01 2.09 66   1.920  0.0592

Total (non-weighted)*


Call:
lm(formula = TLEQ_total_nonW ~ group_3low, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-6.2500 -1.9444  0.0556  2.0556  7.7500 

Coefficients:
                    Estimate Std. Error t value         Pr(>|t|)
(Intercept)           5.9444     0.7125   8.343 0.00000000000644
group_3lowPTSD        3.3056     0.9821   3.366          0.00128
group_3lowResilient   0.7652     0.8958   0.854          0.39604

Residual standard error: 3.023 on 66 degrees of freedom
Multiple R-squared:  0.1656,    Adjusted R-squared:  0.1404 
F-statistic: 6.552 on 2 and 66 DF,  p-value: 0.002539

$emmeans
 group_3low  emmean    SE df lower.CL upper.CL
 Low-exposed   5.94 0.712 66     4.52     7.37
 PTSD          9.25 0.676 66     7.90    10.60
 Resilient     6.71 0.543 66     5.63     7.79

Confidence level used: 0.95 

$contrasts
 contrast                  estimate    SE df t.ratio p.value
 (Low-exposed) - PTSD        -3.306 0.982 66  -3.366  0.0013
 (Low-exposed) - Resilient   -0.765 0.896 66  -0.854  0.3960
 PTSD - Resilient             2.540 0.867 66   2.930  0.0046

Total (excluding childhood trauma, weighted)


Call:
lm(formula = TLEQ_total_exclCT_W ~ group_3low, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-10.200  -5.097  -0.200   4.111  17.903 

Coefficients:
                    Estimate Std. Error t value      Pr(>|t|)
(Intercept)            9.889      1.500   6.594 0.00000000848
group_3lowPTSD         4.311      2.067   2.086        0.0409
group_3lowResilient    2.208      1.885   1.171        0.2458

Residual standard error: 6.362 on 66 degrees of freedom
Multiple R-squared:  0.06185,   Adjusted R-squared:  0.03342 
F-statistic: 2.176 on 2 and 66 DF,  p-value: 0.1216

$emmeans
 group_3low  emmean   SE df lower.CL upper.CL
 Low-exposed   9.89 1.50 66     6.89     12.9
 PTSD         14.20 1.42 66    11.36     17.0
 Resilient    12.10 1.14 66     9.82     14.4

Confidence level used: 0.95 

$contrasts
 contrast                  estimate   SE df t.ratio p.value
 (Low-exposed) - PTSD         -4.31 2.07 66  -2.086  0.0409
 (Low-exposed) - Resilient    -2.21 1.89 66  -1.171  0.2458
 PTSD - Resilient              2.10 1.82 66   1.153  0.2532

Total (excluding childhood trauma, non-weighted)


Call:
lm(formula = TLEQ_total_exclCT_nonW ~ group_3low, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-5.6111 -1.6111 -0.2258  1.8500  6.8500 

Coefficients:
                    Estimate Std. Error t value          Pr(>|t|)
(Intercept)           5.6111     0.6278   8.938 0.000000000000561
group_3lowPTSD        2.5389     0.8654   2.934            0.0046
group_3lowResilient   0.6147     0.7893   0.779            0.4389

Residual standard error: 2.664 on 66 degrees of freedom
Multiple R-squared:   0.13, Adjusted R-squared:  0.1036 
F-statistic:  4.93 on 2 and 66 DF,  p-value: 0.0101

$emmeans
 group_3low  emmean    SE df lower.CL upper.CL
 Low-exposed   5.61 0.628 66     4.36     6.86
 PTSD          8.15 0.596 66     6.96     9.34
 Resilient     6.23 0.478 66     5.27     7.18

Confidence level used: 0.95 

$contrasts
 contrast                  estimate    SE df t.ratio p.value
 (Low-exposed) - PTSD        -2.539 0.865 66  -2.934  0.0046
 (Low-exposed) - Resilient   -0.615 0.789 66  -0.779  0.4389
 PTSD - Resilient             1.924 0.764 66   2.519  0.0142

Childhood trauma (CTQ)

Figure: CTQ totals by group

Warning: Removed 1 rows containing non-finite values (stat_boxplot).
Warning: Removed 1 rows containing non-finite values (stat_boxplot).
Warning: Removed 1 rows containing non-finite values (stat_boxplot).

Linear models & post-hoc comparisons

Bonferroni correction will be p < 0.003 (.05/(3*6))

CTQ overall total


Call:
lm(formula = CTQ_total ~ group_3low, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-16.737  -3.499  -1.419   1.581  55.263 

Coefficients:
                    Estimate Std. Error t value             Pr(>|t|)
(Intercept)          40.5000     2.2191  18.250 < 0.0000000000000002
group_3lowPTSD       12.2368     3.0968   3.951             0.000194
group_3lowResilient   0.9194     2.7900   0.330             0.742822

Residual standard error: 9.415 on 65 degrees of freedom
  (1 observation deleted due to missingness)
Multiple R-squared:  0.245, Adjusted R-squared:  0.2217 
F-statistic: 10.55 on 2 and 65 DF,  p-value: 0.0001081

$emmeans
 group_3low  emmean   SE df lower.CL upper.CL
 Low-exposed   40.5 2.22 65     36.1     44.9
 PTSD          52.7 2.16 65     48.4     57.1
 Resilient     41.4 1.69 65     38.0     44.8

Confidence level used: 0.95 

$contrasts
 contrast                  estimate   SE df t.ratio p.value
 (Low-exposed) - PTSD       -12.237 3.10 65  -3.951  0.0002
 (Low-exposed) - Resilient   -0.919 2.79 65  -0.330  0.7428
 PTSD - Resilient            11.317 2.74 65   4.126  0.0001

CTQ emotional abuse


Call:
lm(formula = CTQ_emoAbuse ~ group_3low, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-4.4737 -0.8333 -0.7742  0.2258 15.5263 

Coefficients:
                    Estimate Std. Error t value        Pr(>|t|)
(Intercept)          5.83333    0.72245   8.074 0.0000000000215
group_3lowPTSD       3.64035    1.00816   3.611        0.000594
group_3lowResilient -0.05914    0.90829  -0.065        0.948285

Residual standard error: 3.065 on 65 degrees of freedom
  (1 observation deleted due to missingness)
Multiple R-squared:  0.2327,    Adjusted R-squared:  0.2091 
F-statistic: 9.858 on 2 and 65 DF,  p-value: 0.0001823

$emmeans
 group_3low  emmean    SE df lower.CL upper.CL
 Low-exposed   5.83 0.722 65     4.39     7.28
 PTSD          9.47 0.703 65     8.07    10.88
 Resilient     5.77 0.551 65     4.67     6.87

Confidence level used: 0.95 

$contrasts
 contrast                  estimate    SE df t.ratio p.value
 (Low-exposed) - PTSD       -3.6404 1.008 65  -3.611  0.0006
 (Low-exposed) - Resilient   0.0591 0.908 65   0.065  0.9483
 PTSD - Resilient            3.6995 0.893 65   4.143  0.0001

CTQ emotional neglect


Call:
lm(formula = CTQ_emoNeglect ~ group_3low, data = data)

Residuals:
   Min     1Q Median     3Q    Max 
 -6.00  -2.29  -0.75   1.50  14.00 

Coefficients:
                    Estimate Std. Error t value       Pr(>|t|)    
(Intercept)           6.5000     0.8478   7.667 0.000000000114 ***
group_3lowPTSD        4.5000     1.1830   3.804       0.000317 ***
group_3lowResilient   0.7903     1.0658   0.742       0.461061    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 3.597 on 65 degrees of freedom
  (1 observation deleted due to missingness)
Multiple R-squared:  0.212, Adjusted R-squared:  0.1877 
F-statistic: 8.741 on 2 and 65 DF,  p-value: 0.0004344

 contrast                  estimate   SE df t.ratio p.value
 (Low-exposed) - PTSD         -4.50 1.18 65  -3.804  0.0003
 (Low-exposed) - Resilient    -0.79 1.07 65  -0.742  0.4611
 PTSD - Resilient              3.71 1.05 65   3.540  0.0007

CTQ physical abuse


Call:
lm(formula = CTQ_physAbuse ~ group_3low, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-2.8000 -0.7778 -0.6129  0.3871  5.2000 

Coefficients:
                    Estimate Std. Error t value             Pr(>|t|)
(Intercept)           5.7778     0.3573  16.171 < 0.0000000000000002
group_3lowPTSD        2.0222     0.4925   4.106             0.000113
group_3lowResilient  -0.1649     0.4492  -0.367             0.714771

Residual standard error: 1.516 on 66 degrees of freedom
Multiple R-squared:  0.2985,    Adjusted R-squared:  0.2772 
F-statistic: 14.04 on 2 and 66 DF,  p-value: 0.000008296

$emmeans
 group_3low  emmean    SE df lower.CL upper.CL
 Low-exposed   5.78 0.357 66     5.06     6.49
 PTSD          7.80 0.339 66     7.12     8.48
 Resilient     5.61 0.272 66     5.07     6.16

Confidence level used: 0.95 

$contrasts
 contrast                  estimate    SE df t.ratio p.value
 (Low-exposed) - PTSD        -2.022 0.493 66  -4.106  0.0001
 (Low-exposed) - Resilient    0.165 0.449 66   0.367  0.7148
 PTSD - Resilient             2.187 0.435 66   5.030  <.0001

CTQ physical neglect


Call:
lm(formula = CTQ_physNeglect ~ group_3low, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-3.6000 -0.6111 -0.4839  0.4000 15.4000 

Coefficients:
                    Estimate Std. Error t value         Pr(>|t|)    
(Intercept)           5.6111     0.6036   9.296 0.00000000000013 ***
group_3lowPTSD        2.9889     0.8320   3.592         0.000625 ***
group_3lowResilient  -0.1272     0.7589  -0.168         0.867354    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 2.561 on 66 degrees of freedom
Multiple R-squared:  0.2364,    Adjusted R-squared:  0.2133 
F-statistic: 10.22 on 2 and 66 DF,  p-value: 0.0001363

 contrast                  estimate    SE df t.ratio p.value
 (Low-exposed) - PTSD        -2.989 0.832 66  -3.592  0.0006
 (Low-exposed) - Resilient    0.127 0.759 66   0.168  0.8674
 PTSD - Resilient             3.116 0.734 66   4.243  0.0001

CTQ sexual abuse


Call:
lm(formula = CTQ_sexAbuse ~ group_3low, data = data)

Residuals:
    Min      1Q  Median      3Q     Max 
-2.9500 -0.9355 -0.9355 -0.1667 18.0645 

Coefficients:
                    Estimate Std. Error t value   Pr(>|t|)
(Intercept)           5.1667     0.9827   5.257 0.00000169
group_3lowPTSD        2.7833     1.3546   2.055     0.0439
group_3lowResilient   0.7688     1.2355   0.622     0.5359

Residual standard error: 4.169 on 66 degrees of freedom
Multiple R-squared:  0.06645,   Adjusted R-squared:  0.03816 
F-statistic: 2.349 on 2 and 66 DF,  p-value: 0.1034

$emmeans
 group_3low  emmean    SE df lower.CL upper.CL
 Low-exposed   5.17 0.983 66     3.20     7.13
 PTSD          7.95 0.932 66     6.09     9.81
 Resilient     5.94 0.749 66     4.44     7.43

Confidence level used: 0.95 

$contrasts
 contrast                  estimate   SE df t.ratio p.value
 (Low-exposed) - PTSD        -2.783 1.35 66  -2.055  0.0439
 (Low-exposed) - Resilient   -0.769 1.24 66  -0.622  0.5359
 PTSD - Resilient             2.015 1.20 66   1.685  0.0968

WTC Exposures

Using “3 exposures = lower-exposed” group (group_3low):

Figure: Exposures by group

Blue = proportion of group endorsing a given exposure (as defined by the data center). Red = Never experienced that exposure.

Chi square tests of association between group and n exposures

Bonferroni correction will be p < 0.00167 (.05/(3*10))

index a*

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

========================================================
                data$group_3low
data$index_a    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------
0                        11        1           0      12
expected                3.2      3.4         5.5        
row prop.             0.917    0.083       0.000   0.176
std. res.             4.390   -1.285      -2.339        
--------------------------------------------------------
1                         7       18          31      56
expected               14.8     15.6        25.5        
row prop.             0.125    0.321       0.554   0.824
std. res.            -2.032    0.595       1.083        
--------------------------------------------------------
Total                    18       19          31      68
========================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0000000925

Association between group and index_a (arrived early) frequency IS statistically significant
lower-exposed more 0, fewer 1 than expected
resilient fewer 0 than expected

post-hoc tests

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Col Total | 
|-------------------------|

==========================================
               tmp$group_3low
tmp$index_h    Low-exposed    PTSD   Total
------------------------------------------
0                       16       4      20
expected               9.7    10.3        
col prop.            0.889   0.211        
------------------------------------------
1                        2      15      17
expected               8.3     8.7        
col prop.            0.111   0.789        
------------------------------------------
Total                   18      19      37
                     0.486   0.514        
==========================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Sample estimate odds ratio: 26.16804 

Alternative hypothesis: true odds ratio is not equal to 1 
p = 0.0000473 
95% confidence interval: 3.903238 327.8712 

Alternative hypothesis: true odds ratio is less than 1 
p = 1 
95%s confidence interval: % 0 219.2406 

Alternative hypothesis: true odds ratio is greater than 1 
p = 0.0000384 
95%s confidence interval: % 4.890063 Inf 

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Col Total | 
|-------------------------|

========================================
               tmp$group_3low
tmp$index_h     PTSD   Resilient   Total
----------------------------------------
0                  4          11      15
expected         5.7         9.3        
col prop.      0.211       0.355        
----------------------------------------
1                 15          20      35
expected        13.3        21.7        
col prop.      0.789       0.645        
----------------------------------------
Total             19          31      50
                0.38        0.62        
========================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Sample estimate odds ratio: 0.4917071 

Alternative hypothesis: true odds ratio is not equal to 1 
p = 0.351 
95% confidence interval: 0.09498967 2.099397 

Alternative hypothesis: true odds ratio is less than 1 
p = 0.225 
95%s confidence interval: % 0 1.730445 

Alternative hypothesis: true odds ratio is greater than 1 
p = 0.921 
95%s confidence interval: % 0.1221198 Inf 

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|-------------------------|

==============================================
               tmp$group_3low
tmp$index_h    Low-exposed   Resilient   Total
----------------------------------------------
0                       16          11      27
expected               9.9        17.1        
----------------------------------------------
1                        2          20      22
expected               8.1        13.9        
----------------------------------------------
Total                   18          31      49
==============================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Sample estimate odds ratio: 13.70336 

Alternative hypothesis: true odds ratio is not equal to 1 
p = 0.000323 
95% confidence interval: 2.515685 144.9476 

Alternative hypothesis: true odds ratio is less than 1 
p = 1 
95%s confidence interval: % 0 97.65347 

Alternative hypothesis: true odds ratio is greater than 1 
p = 0.000277 
95%s confidence interval: % 3.079935 Inf

index b

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

========================================================
                data$group_3low
data$index_b    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------
0                        18       12          20      50
expected               13.2     14.0        22.8        
row prop.             0.360    0.240       0.400   0.735
std. res.             1.310   -0.527      -0.585        
--------------------------------------------------------
1                         0        7          11      18
expected                4.8      5.0         8.2        
row prop.             0.000    0.389       0.611   0.265
std. res.            -2.183    0.879       0.975        
--------------------------------------------------------
Total                    18       19          31      68
========================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0047

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)

index c*

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

========================================================
                data$group_3low
data$index_c    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------
0                        10        3           1      14
expected                3.7      3.9         6.4        
row prop.             0.714    0.214       0.071   0.206
std. res.             3.270   -0.461      -2.131        
--------------------------------------------------------
1                         8       16          30      54
expected               14.3     15.1        24.6        
row prop.             0.148    0.296       0.556   0.794
std. res.            -1.665    0.235       1.085        
--------------------------------------------------------
Total                    18       19          31      68
========================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0000542

Association between group and index_c (worked on or adjacent to pit/pile) frequency IS statistically significant
lower-exposed more 0 than expected
resilient fewer 0 than expected

post-hoc tests

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Col Total | 
|-------------------------|

==========================================
               tmp$group_3low
tmp$index_c    Low-exposed    PTSD   Total
------------------------------------------
0                       10       3      13
expected               6.3     6.7        
col prop.            0.556   0.158        
------------------------------------------
1                        8      16      24
expected              11.7    12.3        
col prop.            0.444   0.842        
------------------------------------------
Total                   18      19      37
                     0.486   0.514        
==========================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Sample estimate odds ratio: 6.298169 

Alternative hypothesis: true odds ratio is not equal to 1 
p = 0.017 
95% confidence interval: 1.184133 45.90918 

Alternative hypothesis: true odds ratio is less than 1 
p = 0.998 
95%s confidence interval: % 0 33.83905 

Alternative hypothesis: true odds ratio is greater than 1 
p = 0.0135 
95%s confidence interval: % 1.465824 Inf 

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Col Total | 
|-------------------------|

========================================
               tmp$group_3low
tmp$index_c     PTSD   Resilient   Total
----------------------------------------
0                  3           1       4
expected         1.5         2.5        
col prop.      0.158       0.032        
----------------------------------------
1                 16          30      46
expected        17.5        28.5        
col prop.      0.842       0.968        
----------------------------------------
Total             19          31      50
                0.38        0.62        
========================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Sample estimate odds ratio: 5.427659 

Alternative hypothesis: true odds ratio is not equal to 1 
p = 0.147 
95% confidence interval: 0.3988767 304.3108 

Alternative hypothesis: true odds ratio is less than 1 
p = 0.983 
95%s confidence interval: % 0 150.1039 

Alternative hypothesis: true odds ratio is greater than 1 
p = 0.147 
95%s confidence interval: % 0.5520107 Inf 

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Col Total | 
|-------------------------|

==============================================
               tmp$group_3low
tmp$index_c    Low-exposed   Resilient   Total
----------------------------------------------
0                       10           1      11
expected                 4           7        
col prop.            0.556       0.032        
----------------------------------------------
1                        8          30      38
expected                14          24        
col prop.            0.444       0.968        
----------------------------------------------
Total                   18          31      49
                     0.367       0.633        
==============================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Sample estimate odds ratio: 34.09547 

Alternative hypothesis: true odds ratio is not equal to 1 
p = 0.0000476 
95% confidence interval: 3.926723 1661.183 

Alternative hypothesis: true odds ratio is less than 1 
p = 1 
95%s confidence interval: % 0 829.8727 

Alternative hypothesis: true odds ratio is greater than 1 
p = 0.0000476 
95%s confidence interval: % 4.956031 Inf

index d

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

========================================================
                data$group_3low
data$index_d    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------
0                        12        9           7      28
expected                7.4      7.8        12.8        
row prop.             0.429    0.321       0.250   0.412
std. res.             1.685    0.421      -1.614        
--------------------------------------------------------
1                         6       10          24      40
expected               10.6     11.2        18.2        
row prop.             0.150    0.250       0.600   0.588
std. res.            -1.410   -0.352       1.350        
--------------------------------------------------------
Total                    18       19          31      68
========================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.00871

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)

index e

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

========================================================
                data$group_3low
data$index_e    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------
0                        14       10           9      33
expected                8.7      9.2        15.0        
row prop.             0.424    0.303       0.273   0.485
std. res.             1.781    0.257      -1.558        
--------------------------------------------------------
1                         4        9          22      35
expected                9.3      9.8        16.0        
row prop.             0.114    0.257       0.629   0.515
std. res.            -1.730   -0.249       1.513        
--------------------------------------------------------
Total                    18       19          31      68
========================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.00382

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)

index f

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

========================================================
                data$group_3low
data$index_f    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------
0                        18       16          24      58
expected               15.4     16.2        26.4        
row prop.             0.310    0.276       0.414   0.853
std. res.             0.676   -0.051      -0.475        
--------------------------------------------------------
1                         0        3           7      10
expected                2.6      2.8         4.6        
row prop.             0.000    0.300       0.700   0.147
std. res.            -1.627    0.123       1.143        
--------------------------------------------------------
Total                    18       19          31      68
========================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0952

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)

index g

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

========================================================
                data$group_3low
data$index_g    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------
0                         8        8           8      24
expected                6.4      6.7        10.9        
row prop.             0.333    0.333       0.333   0.353
std. res.             0.653    0.500      -0.889        
--------------------------------------------------------
1                        10       11          23      44
expected               11.6     12.3        20.1        
row prop.             0.227    0.250       0.523   0.647
std. res.            -0.483   -0.369       0.657        
--------------------------------------------------------
Total                    18       19          31      68
========================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.34

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)

index h*

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

========================================================
                data$group_3low
data$index_h    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------
0                        16        4          11      31
expected                8.2      8.7        14.1        
row prop.             0.516    0.129       0.355   0.456
std. res.             2.721   -1.584      -0.833        
--------------------------------------------------------
1                         2       15          20      37
expected                9.8     10.3        16.9        
row prop.             0.054    0.405       0.541   0.544
std. res.            -2.490    1.450       0.763        
--------------------------------------------------------
Total                    18       19          31      68
========================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0000378

Association between group and index_h (know someone injured) frequency IS statistically significant
lower-exposed more 0, fewer 1 than expected

post-hoc tests

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Col Total | 
|-------------------------|

==========================================
               tmp$group_3low
tmp$index_h    Low-exposed    PTSD   Total
------------------------------------------
0                       16       4      20
expected               9.7    10.3        
col prop.            0.889   0.211        
------------------------------------------
1                        2      15      17
expected               8.3     8.7        
col prop.            0.111   0.789        
------------------------------------------
Total                   18      19      37
                     0.486   0.514        
==========================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Sample estimate odds ratio: 26.16804 

Alternative hypothesis: true odds ratio is not equal to 1 
p = 0.0000473 
95% confidence interval: 3.903238 327.8712 

Alternative hypothesis: true odds ratio is less than 1 
p = 1 
95%s confidence interval: % 0 219.2406 

Alternative hypothesis: true odds ratio is greater than 1 
p = 0.0000384 
95%s confidence interval: % 4.890063 Inf 

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Col Total | 
|-------------------------|

========================================
               tmp$group_3low
tmp$index_h     PTSD   Resilient   Total
----------------------------------------
0                  4          11      15
expected         5.7         9.3        
col prop.      0.211       0.355        
----------------------------------------
1                 15          20      35
expected        13.3        21.7        
col prop.      0.789       0.645        
----------------------------------------
Total             19          31      50
                0.38        0.62        
========================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Sample estimate odds ratio: 0.4917071 

Alternative hypothesis: true odds ratio is not equal to 1 
p = 0.351 
95% confidence interval: 0.09498967 2.099397 

Alternative hypothesis: true odds ratio is less than 1 
p = 0.225 
95%s confidence interval: % 0 1.730445 

Alternative hypothesis: true odds ratio is greater than 1 
p = 0.921 
95%s confidence interval: % 0.1221198 Inf 

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Col Total | 
|-------------------------|

==============================================
               tmp$group_3low
tmp$index_h    Low-exposed   Resilient   Total
----------------------------------------------
0                       16          11      27
expected               9.9        17.1        
col prop.            0.889       0.355        
----------------------------------------------
1                        2          20      22
expected               8.1        13.9        
col prop.            0.111       0.645        
----------------------------------------------
Total                   18          31      49
                     0.367       0.633        
==============================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Sample estimate odds ratio: 13.70336 

Alternative hypothesis: true odds ratio is not equal to 1 
p = 0.000323 
95% confidence interval: 2.515685 144.9476 

Alternative hypothesis: true odds ratio is less than 1 
p = 1 
95%s confidence interval: % 0 97.65347 

Alternative hypothesis: true odds ratio is greater than 1 
p = 0.000277 
95%s confidence interval: % 3.079935 Inf

index i

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

========================================================
                data$group_3low
data$index_i    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------
0                        18       12          26      56
expected               14.8     15.6        25.5        
row prop.             0.321    0.214       0.464   0.824
std. res.             0.825   -0.922       0.093        
--------------------------------------------------------
1                         0        7           5      12
expected                3.2      3.4         5.5        
row prop.             0.000    0.583       0.417   0.176
std. res.            -1.782    1.992      -0.201        
--------------------------------------------------------
Total                    18       19          31      68
========================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0116

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)

index j

   Cell Contents 
|-------------------------|
|                       N | 
|              Expected N | 
|           N / Row Total | 
|            Std Residual | 
|-------------------------|

========================================================
                data$group_3low
data$index_j    Low-exposed     PTSD   Resilient   Total
--------------------------------------------------------
0                        14        7          22      43
expected               11.8     11.0        20.2        
row prop.             0.326    0.163       0.512   0.843
std. res.             0.639   -1.196       0.392        
--------------------------------------------------------
1                         0        6           2       8
expected                2.2      2.0         3.8        
row prop.             0.000    0.750       0.250   0.157
std. res.            -1.482    2.774      -0.910        
--------------------------------------------------------
Total                    14       13          24      51
========================================================

 
Fisher's Exact Test for Count Data
------------------------------------------------------------
Alternative hypothesis: two.sided 
p = 0.0024

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)

---
title: "WTC neuroimaging meeting 04-06-22"
output:
  html_notebook:
    theme: cerulean
    toc: yes
    toc_float: true
    collapsed: false
    toc_depth: 3
---

_All exposures, CTQ, TLEQ data now cleaned. Just waiting on `index_j` for n=16, who Zoe/Thomasina will call. No exposures data for NWTC-091 yet (will be in next request from data center). All of the analyses here use the group assignment where 3 exposures = Lower-exposed group_

## Summary

* **TLEQ**:
  * None of the chi square tests on the <u>TLEQ item-level</u> unweighted (i.e., binarized) variables were statistically significant using Fisher's exact test with a threshold of p < 0.0007 (.05/(3 groups*23 items)).
  * Linear models predicting TLEQ totals from group used a threshold of p < .004 (.05/3*4)
  * There was a significant omnibus effect of group ONLY on <u>non-weighted TLEQ total (includes childhood trauma)</u>
    * Post-hoc comparisons using same p <.004 threshold indicated that the PTSD group had higher scores vs. the Low-exposed group (p = .0012) (and possibly the Resilient group, p = .0046). Low-exposed and Resilient groups were not significantly different from each other in terms of non-weighted TLEQ total scores.
  <p>
* **CTQ**:
  * Linear models predicting CTQ scores from group used a threshold of p < .003 (.05/(3*6))
  * There was a significant omnibus effect of group on the <u>CTQ total</u> as well as the <u>other CTQ subscales except for `CTQ sexual abuse`</u>
    * Post-hoc comparisons using same p <.003 threshold indicated that the PTSD group had higher scores compared to the other two groups. 
      * Resilient and Low-exposed groups did not differ from each other.
  <p>
* **WTC exposures**:
  * Chi square tests for group differences on the exposure variables `index_a` (_arrived 9/11-9/13_), `index_c` (_worked on or adjacent to pit/pile_), `index_h` (_know someone injured_) were statistically significant using Fisher's exact test with a threshold of p < 0.00167 (.05/(3*10)).
  * _Note:_
    * _n_ = 16 still missing `index_j` (_slept on site_) (Zoe is calling)
    * Still need to check that same median was used to determine `index_d` (_worked >median # hours_)
    * No exposures data for NWTC-091 yet (will be in next request from data center).




```{r setup,echo=FALSE}
knitr::opts_chunk$set(echo = FALSE)
knitr::opts_knit$set(root.dir = "/Users/sarenseeley/Dropbox/Postdoc/nwtc_study/meetings")
options(scipen=999)

library(dplyr)
library(mice)
library(glmnet)
library(ggplot2)
library(ggcorrplot)
library(stringr)
library(foreign)
library(stargazer)
library(cowplot)

rm(list = ls())

#load data for NWTC participants so far 
data<-read.csv("nwtc_data_cleaned_forMeeting_04-06-22.csv", strip.white=FALSE, na.strings="NA")

data$tot_exposures_post_clean[data$record_id=="NWTC-091"] <- NA # don't have this person's data yet

# make new groups
# when 3 exposures = Resilient group
data <- data %>% mutate(group_3resil = group)
data$group_3resil[data$record_id=="NWTC-032"] <- "Resilient" # formerly lower-exposed
data$group_3resil[data$record_id=="NWTC-069"] <- "Resilient" # formerly lower-exposed
data$group_3resil[data$record_id=="NWTC-072"] <- "Resilient" # formerly lower-exposed
data$group_3resil[data$record_id=="NWTC-083"] <- "Resilient" # formerly lower-exposed

# when 3 exposures = Lower-exposed group
data <- data %>% mutate(group_3low = group)
data$group_3low[data$record_id=="NWTC-059"] <- "Low-exposed" # formerly resilient
data$group_3low[data$record_id=="NWTC-079"] <- "Low-exposed" # formerly resilient

```

#### Groups when 3 exposures = lower-exposed

```{r}
data %>% group_by(group_3low) %>% count()
```

#### Groups in REDCap

As currently listed in REDCap:

```{r}
data %>% group_by(group) %>% count()
```

#### Groups when 3 exposures = resilient

```{r}
data %>% group_by(group_3resil) %>% count()
```

Groups are more balanced when 3 exposures = lower-exposed, so we will go with that.

## TLEQ items (non-weighted)

```{r}
data_tmp <- data %>% mutate_each(funs(factor), starts_with("use.tleq") & ends_with("bin"))

tleq1 <- data_tmp %>% count(group_3low,use.tleq_1bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq2 <- data_tmp %>% count(group_3low,use.tleq_2bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq3 <- data_tmp %>% count(group_3low,use.tleq_3bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq4 <- data_tmp %>% count(group_3low,use.tleq_4bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq5 <- data_tmp %>% count(group_3low,use.tleq_5bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq6 <- data_tmp %>% count(group_3low,use.tleq_6bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq7 <- data_tmp %>% count(group_3low,use.tleq_7bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq8 <- data_tmp %>% count(group_3low,use.tleq_8bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq9 <- data_tmp %>% count(group_3low,use.tleq_9bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq10 <- data_tmp %>% count(group_3low,use.tleq_10bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq11 <- data_tmp %>% count(group_3low,use.tleq_11bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq12 <- data_tmp %>% count(group_3low,use.tleq_12bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq13 <- data_tmp %>% count(group_3low,use.tleq_13bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()


tleq14 <- data_tmp %>% count(group_3low,use.tleq_14bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq15 <- data_tmp %>% count(group_3low,use.tleq_15bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq16 <- data_tmp %>% count(group_3low,use.tleq_16bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq17 <- data_tmp %>% count(group_3low,use.tleq_17bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq18 <- data_tmp %>% count(group_3low,use.tleq_18bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq19 <- data_tmp %>% count(group_3low,use.tleq_19bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq20 <- data_tmp %>% count(group_3low,use.tleq_20bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq21 <- data_tmp %>% count(group_3low,use.tleq_21bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq22 <- data_tmp %>% count(group_3low,use.tleq_22bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

tleq23 <- data_tmp %>% count(group_3low,use.tleq_23bin, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p1<-ggplot(tleq1, aes(group_3low,pct, fill=use.tleq_1bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p2<-ggplot(tleq2, aes(group_3low,pct, fill=use.tleq_2bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p3<-ggplot(tleq3, aes(group_3low,pct, fill=use.tleq_3bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p4<-ggplot(tleq4, aes(group_3low,pct, fill=use.tleq_4bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p5<-ggplot(tleq5, aes(group_3low,pct, fill=use.tleq_5bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p6<-ggplot(tleq6, aes(group_3low,pct, fill=use.tleq_6bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p7<-ggplot(tleq7, aes(group_3low,pct, fill=use.tleq_7bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p8<-ggplot(tleq8, aes(group_3low,pct, fill=use.tleq_8bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p9<-ggplot(tleq9, aes(group_3low,pct, fill=use.tleq_9bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p10<-ggplot(tleq10, aes(group_3low,pct, fill=use.tleq_10bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p11<-ggplot(tleq11, aes(group_3low,pct, fill=use.tleq_11bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p12<-ggplot(tleq12, aes(group_3low,pct, fill=use.tleq_12bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p13<-ggplot(tleq13, aes(group_3low,pct, fill=use.tleq_13bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p14<-ggplot(tleq14, aes(group_3low,pct, fill=use.tleq_14bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p15<-ggplot(tleq15, aes(group_3low,pct, fill=use.tleq_15bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p16<-ggplot(tleq16, aes(group_3low,pct, fill=use.tleq_16bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p17<-ggplot(tleq17, aes(group_3low,pct, fill=use.tleq_17bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p18<-ggplot(tleq18, aes(group_3low,pct, fill=use.tleq_18bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p19<-ggplot(tleq19, aes(group_3low,pct, fill=use.tleq_19bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p20<-ggplot(tleq20, aes(group_3low,pct, fill=use.tleq_20bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p21<-ggplot(tleq21, aes(group_3low,pct, fill=use.tleq_21bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p22<-ggplot(tleq22, aes(group_3low,pct, fill=use.tleq_22bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

p23<-ggplot(tleq23, aes(group_3low,pct, fill=use.tleq_23bin)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


```

### Figure: TLEQ items (non-weighted) by group 

_Blue = proportion of group endorsing at least one incidence of a given event. Red = Never experienced that event._

```{r fig.height=8}
labels <- c("1.disaster","2.mva","3.accident","4.war","5.deathLO","6.injLO","7.illness","8.robbery", "9.beaten","10.witness","11.threaten","12.punish", "13.violFam", "14.IPV", "15.csa <13", "16.csa peer", "17.csa 13-18", "18.sa 18+", "19.harass", "20.stalk", "21.miscarr", "22.abort", "23.other")
 plot_grid(p1,p2,p3,p4,p5,p6,p7,p8,p9,p10,p11,p12,p13,p14,p15,p16,p17,p18,p19,p20,p21,p22,p23, labels = labels, #greedy=TRUE, 
           scale=1, ncol=3, nrow=8,hjust=-.5,vjust=1,label_size = 20)
```
### Chi square tests of association between group and TLEQ items (non-weighted)

Bonferroni correction will be p < 0.0007 (.05/(3*23))

```{r, echo=FALSE, include=FALSE}
library(MASS) # for chisq
library(descr) # for crosstable

# This code will generate both Pearson's Chi-square and Fisher's Chi square (if desired; here just looking at Fisher's test). It produces counts as well as proportions of each of the table entries. Based on the standardised residuals or z-values scores i.e., If it is outside the range |1.96| i.e., less than -1.96 or greater than 1.96, then it is significant p < 0.05. The sign would then indicate whether positively related or negatively.
# NB: Residuals reflect the extent to which an observed value exceeded the expected value (positive value) or fell short of the expected value (negative value)
```

#### TLEQ item 1
```{r}
CrossTable(data$use.tleq_1bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 2
```{r}
CrossTable(data$use.tleq_2bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 3
```{r}
CrossTable(data$use.tleq_3bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 4
```{r}
CrossTable(data$use.tleq_4bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 5
```{r}
CrossTable(data$use.tleq_5bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 6
```{r}
CrossTable(data$use.tleq_6bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 7
```{r}
CrossTable(data$use.tleq_7bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 8
```{r}
CrossTable(data$use.tleq_8bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 9
```{r}
CrossTable(data$use.tleq_9bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 10
```{r}
CrossTable(data$use.tleq_10bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 11
```{r}
CrossTable(data$use.tleq_11bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 12
```{r}
CrossTable(data$use.tleq_12bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 13
```{r}
CrossTable(data$use.tleq_13bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 14
```{r}
CrossTable(data$use.tleq_14bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 15
```{r}
CrossTable(data$use.tleq_15bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 16
```{r}
CrossTable(data$use.tleq_16bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 17
```{r}
CrossTable(data$use.tleq_17bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 18
```{r}
CrossTable(data$use.tleq_18bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 19
```{r}
CrossTable(data$use.tleq_19bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 20
```{r}
CrossTable(data$use.tleq_20bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 21
```{r}
CrossTable(data$use.tleq_21bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 22
```{r}
CrossTable(data$use.tleq_22bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

#### TLEQ item 23
```{r}
CrossTable(data$use.tleq_23bin,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

## TLEQ totals (weighted and non-weighted)

### Figure: TLEQ totals by group 

```{r, fig.width=4}

p1<-ggplot(data, aes(TLEQ_total_W, group_3low), by=group_3low, fill=group_3low) + 
       geom_boxplot(aes(fill=group_3low)) +
    xlab("TLEQ total weighted \n (includes childhood trauma)") + theme_bw() 

p2<-ggplot(data, aes(TLEQ_total_nonW, group_3low), by=group_3low, fill=group_3low) + 
       geom_boxplot(aes(fill=group_3low)) +
    xlab("TLEQ total non-weighted \n (includes childhood trauma)") + theme_bw() 

p3<-ggplot(data, aes(TLEQ_total_exclCT_W, group_3low), by=group_3low, fill=group_3low) + 
       geom_boxplot(aes(fill=group_3low)) +
    xlab("TLEQ total weighted \n (excludes childhood trauma)") + theme_bw() 

p4<-ggplot(data, aes(TLEQ_total_exclCT_nonW, group_3low), by=group_3low, fill=group_3low) + 
       geom_boxplot(aes(fill=group_3low)) +
    xlab("TLEQ total non-weighted \n (excludes childhood trauma)") + theme_bw() 

 plot_grid(p1,p2,p3,p4,#labels = labels, #greedy=TRUE, 
           scale=1, ncol=2, nrow=2,hjust=-.5,vjust=1)
```
### Linear models & post-hoc comparisons

Bonferroni correction will be p < 0.004 (.05/(3*4))

#### Total (weighted)
```{r}
library(emmeans)
m1<- lm(TLEQ_total_W ~ group_3low, data)
print(summary(m1),signif.legend=FALSE, signif.stars=FALSE)
emmeans(m1, pairwise ~ group_3low, adjust="none")
```

#### Total (non-weighted)*
```{r}
m2<- lm(TLEQ_total_nonW ~ group_3low, data)
print(summary(m2),signif.legend=FALSE, signif.stars=FALSE)
emmeans(m2, pairwise ~ group_3low, adjust="none")
```

#### Total (excluding childhood trauma, weighted)
```{r}
m3<- lm(TLEQ_total_exclCT_W ~ group_3low, data)
print(summary(m3),signif.legend=FALSE, signif.stars=FALSE)
emmeans(m3, pairwise ~ group_3low, adjust="none")
```

#### Total (excluding childhood trauma, non-weighted)
```{r}
m4<- lm(TLEQ_total_exclCT_nonW ~ group_3low, data)
print(summary(m4),signif.legend=FALSE, signif.stars=FALSE)
emmeans(m4, pairwise ~ group_3low, adjust="none")
```


## Childhood trauma (CTQ)

### Figure: CTQ totals by group

```{r, fig.width=4}

p1<-ggplot(data, aes(group_3low, CTQ_total), by=group_3low, fill=group_3low) + 
       geom_boxplot(aes(fill=group_3low)) + theme_bw()  #+ ylab("CTQ total (sum subscales)") + theme_bw()

p2<-ggplot(data, aes(group_3low, CTQ_emoAbuse), by=group_3low, fill=group_3low) + 
       geom_boxplot(aes(fill=group_3low)) + theme_bw() #+ ylab("CTQ emot abuse") + theme_bw()

p3<-ggplot(data, aes(group_3low, CTQ_emoNeglect), by=group_3low, fill=group_3low) + 
       geom_boxplot(aes(fill=group_3low)) + theme_bw() #+ ylab("CTQ emot neglect") + theme_bw()

p4<-ggplot(data, aes(group_3low, CTQ_physAbuse), by=group_3low, fill=group_3low) + 
       geom_boxplot(aes(fill=group_3low)) + theme_bw() #+ ylab("CTQ phys abuse") + theme_bw()

p5<-ggplot(data, aes(group_3low, CTQ_physNeglect), by=group_3low, fill=group_3low) + 
       geom_boxplot(aes(fill=group_3low)) + theme_bw() # + ylab("CTQ phys neglect") + theme_bw()

p6<-ggplot(data, aes(group_3low, CTQ_sexAbuse), by=group_3low, fill=group_3low) + 
       geom_boxplot(aes(fill=group_3low)) + theme_bw()# + ylab("CTQ sexual abuse") + theme_bw()


 plot_grid(p1,p2,p3,p4,p5,p6,#labels = labels, #greedy=TRUE, 
           scale=1, ncol=2, nrow=3,hjust=-.5,vjust=1)

```

### Linear models & post-hoc comparisons

Bonferroni correction will be p < 0.003 (.05/(3*6))

#### CTQ overall total
```{r}
m1<- lm(CTQ_total ~ group_3low, data)
print(summary(m1),signif.legend=FALSE, signif.stars=FALSE)
emmeans(m1, pairwise ~ group_3low, adjust="none")
```

#### CTQ emotional abuse
```{r}
m1<- lm(CTQ_emoAbuse ~ group_3low, data)
print(summary(m1),signif.legend=FALSE, signif.stars=FALSE)
emmeans(m1, pairwise ~ group_3low, adjust="none")
```

#### CTQ emotional neglect
```{r}
m1 <- lm(CTQ_emoNeglect ~ group_3low, data=data)
summary(m1)
m1.emm <- emmeans(m1, specs="group_3low")
contrast(m1.emm, method="pairwise", adjust="none")
```

#### CTQ physical abuse
```{r}
m1<- lm(CTQ_physAbuse ~ group_3low, data)
print(summary(m1),signif.legend=FALSE, signif.stars=FALSE)
emmeans(m1, pairwise ~ group_3low, adjust="none")
```

#### CTQ physical neglect
```{r}
m1 <- lm(CTQ_physNeglect ~ group_3low, data=data)
summary(m1)
m1.emm <- emmeans(m1, specs="group_3low")
contrast(m1.emm, method="pairwise", adjust="none")
```

#### CTQ sexual abuse
```{r}
m1<- lm(CTQ_sexAbuse ~ group_3low, data)
print(summary(m1),signif.legend=FALSE, signif.stars=FALSE)
emmeans(m1, pairwise ~ group_3low, adjust="none")
```


## WTC Exposures

Using "3 exposures = lower-exposed" group (`group_3low`):

```{r}
data %>% count(group_3low,tot_exposures_post_clean, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()
```

```{r}

## mutate back to factors for index* vars

data_tmp <- data %>% mutate_each(funs(factor), starts_with("index"))

index_a <- data_tmp %>% count(group_3low,index_a, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_a<-ggplot(index_a, aes(group_3low,pct, fill=index_a)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_b <- data_tmp %>% count(group_3low,index_b, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_b<-ggplot(index_b, aes(group_3low,pct, fill=index_b)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_c <- data_tmp %>% count(group_3low,index_c, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_c<-ggplot(index_c, aes(group_3low,pct, fill=index_c)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_d <- data_tmp %>% count(group_3low,index_d, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_d<-ggplot(index_d, aes(group_3low,pct, fill=index_d)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_e <- data_tmp %>% count(group_3low,index_e, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_e<-ggplot(index_e, aes(group_3low,pct, fill=index_e)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_f <- data_tmp %>% count(group_3low,index_f, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_f<-ggplot(index_f, aes(group_3low,pct, fill=index_f)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_g <- data_tmp %>% count(group_3low,index_g, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_g<-ggplot(index_g, aes(group_3low,pct, fill=index_g)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_h <- data_tmp %>% count(group_3low,index_h, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_h<-ggplot(index_h, aes(group_3low,pct, fill=index_h)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_i <- data_tmp %>% count(group_3low,index_i, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_i<-ggplot(index_i, aes(group_3low,pct, fill=index_i)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

index_j <- data_tmp %>% count(group_3low,index_j, name="n") %>%
    group_by(group_3low) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_j<-ggplot(index_j, aes(group_3low,pct, fill=index_j)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank()) 

```

### Figure: Exposures by group 

_Blue = proportion of group endorsing a given exposure (as defined by the data center). Red = Never experienced that exposure._

```{r fig.height=4}
labels <- c("arrived","dust","pile","hours","remains","search","know died","know inj","injured","slept")
 plot_grid(p_a, p_b, p_c, p_d, p_e, p_f, p_g, p_h, p_i, p_j, labels = labels, #greedy=TRUE, 
           scale=1, ncol=2, nrow=5,hjust=-.5,vjust=1)
```

### Chi square tests of association between group and n exposures

Bonferroni correction will be p < 0.00167 (.05/(3*10))


```{r, echo=FALSE}
library(MASS) # for chisq
library(descr) # for crosstable

# This code will generate both Pearson's Chi-square and Fisher's Chi square (if desired; here just looking at Fisher's test). It produces counts as well as proportions of each of the table entries. Based on the standardised residuals or z-values scores i.e., If it is outside the range |1.96| i.e., less than -1.96 or greater than 1.96, then it is significant p < 0.05. The sign would then indicate whether positively related or negatively.
# NB: Residuals reflect the extent to which an observed value exceeded the expected value (positive value) or fell short of the expected value (negative value)
```

#### index a*
```{r}
CrossTable(data$index_a,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

* Association between `group` and `index_a` (arrived early) frequency IS statistically significant
* lower-exposed more 0, fewer 1 than expected
* resilient fewer 0 than expected

##### post-hoc tests
```{r}
tmp<- data %>% filter(group_3low=="Low-exposed"|group_3low=="PTSD")
CrossTable(tmp$index_h,  tmp$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.r=F,prop.t = F, prop.chisq = F, missing.include=F, row.labels = T)

tmp<- data %>% filter(group_3low=="Resilient"|group_3low=="PTSD")
CrossTable(tmp$index_h,  tmp$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.r=F,prop.t = F, prop.chisq = F, missing.include=F, row.labels = T)

tmp<- data %>% filter(group_3low=="Low-exposed"|group_3low=="Resilient")
CrossTable(tmp$index_h,  tmp$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.r=F,prop.t = F, prop.chisq = F, missing.include=F, row.labels = T)
```

#### index b

```{r}
CrossTable(data$index_b,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)


#### index c*

```{r}
CrossTable(data$index_c,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

* Association between `group` and `index_c` (worked on or adjacent to pit/pile) frequency IS statistically significant
* lower-exposed more 0 than expected
* resilient fewer 0 than expected


##### post-hoc tests
```{r}
tmp<- data %>% filter(group_3low=="Low-exposed"|group_3low=="PTSD")
CrossTable(tmp$index_c,  tmp$group_3low, 
           fisher = T, chisq = F, expected = T,
       prop.r=F,prop.t = F, prop.chisq = F, missing.include=F, row.labels = T)

tmp<- data %>% filter(group_3low=="Resilient"|group_3low=="PTSD")
CrossTable(tmp$index_c,  tmp$group_3low,
        fisher = T, chisq = F, expected = T,
       prop.r=F,prop.t = F, prop.chisq = F, missing.include=F, row.labels = T)

tmp<- data %>% filter(group_3low=="Low-exposed"|group_3low=="Resilient")
CrossTable(tmp$index_c,  tmp$group_3low,
        fisher = T, chisq = F, expected = T,
       prop.r=F,prop.t = F, prop.chisq = F, missing.include=F, row.labels = T)

```


#### index d

```{r}
CrossTable(data$index_d,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)


#### index e

```{r}
CrossTable(data$index_e,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)

#### index f

```{r}
CrossTable(data$index_f,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)


#### index g

```{r}
CrossTable(data$index_g,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```
Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)


#### index h*

```{r}
CrossTable(data$index_h,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

* Association between `group` and `index_h` (know someone injured) frequency IS statistically significant
* lower-exposed more 0, fewer 1 than expected

##### post-hoc tests
```{r}
tmp<- data %>% filter(group_3low=="Low-exposed"|group_3low=="PTSD")
CrossTable(tmp$index_h,  tmp$group_3low,
      fisher = T, chisq = F, expected = T,
       prop.r=F,prop.t = F, prop.chisq = F, missing.include=F, row.labels = T)


tmp<- data %>% filter(group_3low=="Resilient"|group_3low=="PTSD")
CrossTable(tmp$index_h,  tmp$group_3low,
        fisher = T, chisq = F, expected = T,
       prop.r=F,prop.t = F, prop.chisq = F, missing.include=F, row.labels = T)

tmp<- data %>% filter(group_3low=="Low-exposed"|group_3low=="Resilient")
CrossTable(tmp$index_h,  tmp$group_3low,
        fisher = T, chisq = F, expected = T,
       prop.r=F,prop.t = F, prop.chisq = F, missing.include=F, row.labels = T)

```


#### index i

```{r}
CrossTable(data$index_i,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```
Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)

#### index j

```{r}
CrossTable(data$index_j,  data$group_3low,
       fisher = T, chisq = F, expected = T,
       prop.c = F, prop.t = F, prop.chisq = F, 
      sresid = T, missing.include=F, row.labels = T)
```

Comparisons do not survive Bonferroni correction for 3*10 comparisons (.00167)

