TTC_Analyses

Summaries
TTC Start and PTQ
TTC Start and Prediction 1
TTC Start and Prediction 1 (controlling for confidence)
TTC Start and Prediction 2
TTC Start and Prediction 2 (controlling for confidence)
TTC Start and Prediction change

Summaries

Times

TTC Stats by Time Type

## 
##  Descriptive statistics by group 
## group: ttc_Start
##    vars    n mean     sd median trimmed  mad min   max range  skew kurtosis
## X1    1 3014 52.7 757.36      4    7.51 5.93   0 30114 30114 34.57  1273.98
##      se
## X1 13.8
## ------------------------------------------------------------ 
## group: ttc_End
##    vars    n  mean     sd median trimmed  mad min   max range  skew kurtosis se
## X1    1 3014 56.51 768.83      5    8.84 5.93   0 30115 30115 33.32   1201.7 14
## ------------------------------------------------------------ 
## group: TimetoComplete
##    vars    n mean     sd median trimmed  mad min  max range  skew kurtosis   se
## X1    1 3014 3.81 108.71      1    0.61 1.48   0 5884  5884 52.69  2838.52 1.98

TTC_Start by Exam

## 
##  Descriptive statistics by group 
## group: 1
##    vars   n mean    sd median trimmed  mad min  max range skew kurtosis   se
## X1    1 820 24.3 91.07      4    7.54 5.93   0 1248  1248 9.11   101.91 3.18
## ------------------------------------------------------------ 
## group: 2
##    vars   n  mean     sd median trimmed  mad min   max range  skew kurtosis
## X1    1 898 71.89 1058.3      3     6.9 4.45   0 30114 30114 26.23   726.57
##       se
## X1 35.32
## ------------------------------------------------------------ 
## group: 3
##    vars   n mean     sd median trimmed  mad min  max range skew kurtosis   se
## X1    1 853   32 141.44      5     8.3 7.41   0 1918  1918 9.13    92.64 4.84
## ------------------------------------------------------------ 
## group: 4
##    vars   n   mean      sd median trimmed  mad min   max range  skew kurtosis
## X1    1 443 106.26 1255.87      3    7.65 4.45   0 25833 25833 19.54      395
##       se
## X1 59.67

Symptom Measures

PTQ Scores

## df$PTQscore 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2978       36       72    0.999    27.63    17.04        4        8 
##      .25      .50      .75      .90      .95 
##       16       27       38       48       53 
## 
## lowest :  0  1  2  3  4, highest: 67 68 70 71 75

Predictions

Prediction 1

## df$Prediction_1 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     1975     1039       67    0.988    71.38    18.37       40       50 
##      .25      .50      .75      .90      .95 
##       65       75       83       90       92 
## 
## lowest :   0   2   3   5   6, highest:  95  96  97  98 100

Prediction 2

## df$Prediction_2 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2773      241       80    0.989    69.29    18.61       34       50 
##      .25      .50      .75      .90      .95 
##       60       70       80       90       90 
## 
## lowest :   0   1   2   3   5, highest:  95  96  97  98 100

Are Predictions 1 and 2 different?

## 
##  Paired t-test
## 
## data:  df$Prediction_1 and df$Prediction_2
## t = 15.299, df = 1973, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  2.313603 2.993996
## sample estimates:
## mean of the differences 
##                2.653799

All observations

TTC Start

## df$ttc_Start 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3014        0      226    0.982     52.7    97.33        0        0 
##      .25      .50      .75      .90      .95 
##        0        4       12       51      114 
## 
## lowest :     0     1     2     3     4, highest:  1998  4852  9298 25833 30114
##                                                                 
## Value          0   500  1000  1500  2000  5000  9500 26000 30000
## Frequency   2948    40    10    10     2     1     1     1     1
## Proportion 0.978 0.013 0.003 0.003 0.001 0.000 0.000 0.000 0.000
## 
## For the frequency table, variable is rounded to the nearest 500

Cut off 1 (< 2,000 mins)

TTC Start

## ttcmod$ttc_Start 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     3010        0      222    0.982    29.49    51.05      0.0      0.0 
##      .25      .50      .75      .90      .95 
##      0.0      4.0     12.0     50.0    110.5 
## 
## lowest :    0    1    2    3    4, highest: 1569 1570 1607 1918 1998

Cut off 2 (< 1,000 mins)

TTC Start

## ttcmod2$ttc_Start 
##        n  missing distinct     Info     Mean      Gmd      .05      .10 
##     2989        0      201    0.982    19.99    32.62      0.0      0.0 
##      .25      .50      .75      .90      .95 
##      0.0      4.0     11.0     47.0     94.8 
## 
## lowest :   0   1   2   3   4, highest: 553 626 670 696 785

TTC Start and PTQ

All observations

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ PTQscore + (1 | ID)
##    Data: df
## 
## REML criterion at convergence: 46487.1
## 
## Scaled residuals: 
##    Min     1Q Median     3Q    Max 
## -0.204 -0.090 -0.051 -0.009 50.472 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)      0     0.0   
##  Residual             353488   594.5   
## Number of obs: 2978, groups:  ID, 919
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)   
## (Intercept)  -10.1474    22.8475 2976.0000  -0.444  0.65698   
## PTQscore       1.8753     0.7268 2976.0000   2.580  0.00992 **
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##          (Intr)
## PTQscore -0.879
## convergence code: 0
## boundary (singular) fit: see ?isSingular

Cut off 1 (< 2,000 mins)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ PTQscore + (1 | ID)
##    Data: ttcmod
## 
## REML criterion at convergence: 36703.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.0496 -0.1714 -0.1490 -0.0975 15.7959 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)  1982     44.52  
##  Residual             11697    108.15  
## Number of obs: 2975, groups:  ID, 919
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)  26.15788    5.20486 784.63189   5.026 6.22e-07 ***
## PTQscore      0.03798    0.16590 781.14008   0.229    0.819    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##          (Intr)
## PTQscore -0.878

Cut off 1 (< 1,000 mins)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ PTQscore + (1 | ID)
##    Data: ttcmod2
## 
## REML criterion at convergence: 31920.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.4193 -0.2753 -0.2224 -0.1155 12.1811 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)  392.9   19.82   
##  Residual             2510.9   50.11   
## Number of obs: 2958, groups:  ID, 918
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)  23.13246    2.38361 851.11229   9.705   <2e-16 ***
## PTQscore     -0.13755    0.07604 848.61786  -1.809   0.0708 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##          (Intr)
## PTQscore -0.878

TTC Start and Prediction 1

All observations

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_1 + (1 | ID)
##    Data: df
## 
## REML criterion at convergence: 31375.8
## 
## Scaled residuals: 
##    Min     1Q Median     3Q    Max 
## -0.074 -0.056 -0.047 -0.030 43.997 
## 
## Random effects:
##  Groups   Name        Variance  Std.Dev.
##  ID       (Intercept)     67.37   8.208 
##  Residual             466946.85 683.335 
## Number of obs: 1975, groups:  ID, 718
## 
## Fixed effects:
##               Estimate Std. Error        df t value Pr(>|t|)
## (Intercept)    -2.7701    65.1107 1726.7023  -0.043    0.966
## Prediction_1    0.5330     0.8864 1724.3941   0.601    0.548
## 
## Correlation of Fixed Effects:
##             (Intr)
## Predictin_1 -0.972

Cut off 1 (< 2,000 mins)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_1 + (1 | ID)
##    Data: ttcmod
## 
## REML criterion at convergence: 23370.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3596 -0.1844 -0.1263 -0.0645 16.0821 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 1110     33.32   
##  Residual             7154     84.58   
## Number of obs: 1974, groups:  ID, 718
## 
## Fixed effects:
##               Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)    47.7142     8.9434 1722.7815   5.335 1.08e-07 ***
## Prediction_1   -0.3862     0.1216 1750.2761  -3.175  0.00153 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## Predictin_1 -0.966

Cut off 2 (< 1,000 mins)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_1 + (1 | ID)
##    Data: ttcmod2
## 
## REML criterion at convergence: 20671.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.0347 -0.2551 -0.1923 -0.1001 12.7025 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)  360.9   19.00   
##  Residual             1851.1   43.02   
## Number of obs: 1966, groups:  ID, 718
## 
## Fixed effects:
##                Estimate Std. Error         df t value Pr(>|t|)    
## (Intercept)    24.53339    4.67745 1613.02485   5.245 1.77e-07 ***
## Prediction_1   -0.12683    0.06357 1660.32089  -1.995   0.0462 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## Predictin_1 -0.965

TTC Start and Prediction 1 (controlling for confidence)

All observations

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_1 + Prediction_1_confidence + (1 | ID)
##    Data: df
## 
## REML criterion at convergence: 31300
## 
## Scaled residuals: 
##    Min     1Q Median     3Q    Max 
## -0.099 -0.059 -0.043 -0.023 43.914 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)    329.9  18.16  
##  Residual             468010.4 684.11  
## Number of obs: 1970, groups:  ID, 718
## 
## Fixed effects:
##                          Estimate Std. Error        df t value Pr(>|t|)
## (Intercept)              -30.1631    78.1155 1677.4716  -0.386    0.699
## Prediction_1               0.5755     0.8946 1714.3367   0.643    0.520
## Prediction_1_confidence    0.4024     0.6264 1626.9351   0.642    0.521
## 
## Correlation of Fixed Effects:
##             (Intr) Prdc_1
## Predictin_1 -0.852       
## Prdctn_1_cn -0.544  0.071

Cut off 1 (< 2,000)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_1 + Prediction_1_confidence + (1 | ID)
##    Data: ttcmod
## 
## REML criterion at convergence: 23318.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3421 -0.1827 -0.1256 -0.0668 16.0443 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 1109     33.30   
##  Residual             7176     84.71   
## Number of obs: 1969, groups:  ID, 718
## 
## Fixed effects:
##                           Estimate Std. Error         df t value Pr(>|t|)    
## (Intercept)               44.74976   10.76264 1688.96007   4.158 3.37e-05 ***
## Prediction_1              -0.38684    0.12278 1740.79744  -3.151  0.00166 ** 
## Prediction_1_confidence    0.04933    0.08657 1670.50743   0.570  0.56886    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) Prdc_1
## Predictin_1 -0.847       
## Prdctn_1_cn -0.548  0.075

Cut off 2 (< 1,000)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_1 + Prediction_1_confidence + (1 | ID)
##    Data: ttcmod2
## 
## REML criterion at convergence: 20624.8
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.0307 -0.2608 -0.1885 -0.0912 12.6802 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)  369.9   19.23   
##  Residual             1847.0   42.98   
## Number of obs: 1961, groups:  ID, 718
## 
## Fixed effects:
##                           Estimate Std. Error         df t value Pr(>|t|)    
## (Intercept)               28.73640    5.60436 1577.65059   5.128  3.3e-07 ***
## Prediction_1              -0.13523    0.06414 1657.76809  -2.108   0.0351 *  
## Prediction_1_confidence   -0.06020    0.04506 1558.47072  -1.336   0.1817    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) Prdc_1
## Predictin_1 -0.847       
## Prdctn_1_cn -0.542  0.068

TTC Start and Prediction 2

All observations

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_2 + (1 | ID)
##    Data: df
## 
## REML criterion at convergence: 43242.7
## 
## Scaled residuals: 
##    Min     1Q Median     3Q    Max 
## -0.182 -0.064 -0.059 -0.047 50.929 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)    803.5  28.35  
##  Residual             347136.8 589.18  
## Number of obs: 2773, groups:  ID, 912
## 
## Fixed effects:
##               Estimate Std. Error        df t value Pr(>|t|)
## (Intercept)  3.680e+01  4.638e+01 2.188e+03   0.793    0.428
## Prediction_2 2.352e-02  6.494e-01 2.186e+03   0.036    0.971
## 
## Correlation of Fixed Effects:
##             (Intr)
## Predictin_2 -0.970

Cut off 1 (< 2,000 mins)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_2 + (1 | ID)
##    Data: ttcmod
## 
## REML criterion at convergence: 34009.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.3378 -0.1654 -0.1170 -0.0695 14.9773 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)  3116     55.82  
##  Residual             10136    100.68  
## Number of obs: 2771, groups:  ID, 912
## 
## Fixed effects:
##               Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)    45.0019     9.5285 2266.4700   4.723 2.47e-06 ***
## Prediction_2   -0.2639     0.1329 2387.6818  -1.986   0.0471 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## Predictin_2 -0.959

Cut off 2 (< 1,000 mins)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_2 + (1 | ID)
##    Data: ttcmod2
## 
## REML criterion at convergence: 29591.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.7619 -0.2608 -0.2096 -0.1079 12.4951 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)  446.5   21.13   
##  Residual             2332.0   48.29   
## Number of obs: 2755, groups:  ID, 910
## 
## Fixed effects:
##                Estimate Std. Error         df t value Pr(>|t|)    
## (Intercept)    22.20405    4.36924 2214.69146   5.082 4.05e-07 ***
## Prediction_2   -0.05327    0.06104 2282.36469  -0.873    0.383    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## Predictin_2 -0.963

TTC Start and Prediction 2 (controlling for confidence)

All observations

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_2 + Prediction_2_confidence + (1 | ID)
##    Data: df
## 
## REML criterion at convergence: 33600.3
## 
## Scaled residuals: 
##    Min     1Q Median     3Q    Max 
## -0.106 -0.061 -0.043 -0.026 44.979 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)      0     0.0   
##  Residual             446722   668.4   
## Number of obs: 2121, groups:  ID, 729
## 
## Fixed effects:
##                           Estimate Std. Error         df t value Pr(>|t|)
## (Intercept)              7.061e+01  6.918e+01  2.118e+03   1.021    0.308
## Prediction_2             5.305e-03  8.259e-01  2.118e+03   0.006    0.995
## Prediction_2_confidence -5.962e-01  5.888e-01  2.118e+03  -1.013    0.311
## 
## Correlation of Fixed Effects:
##             (Intr) Prdc_2
## Predictin_2 -0.848       
## Prdctn_2_cn -0.543  0.068
## convergence code: 0
## boundary (singular) fit: see ?isSingular

Cut off 1 (< 2,000)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_2 + Prediction_2_confidence + (1 | ID)
##    Data: ttcmod
## 
## REML criterion at convergence: 25159.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.7769 -0.1850 -0.1214 -0.0591 15.7424 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 1408     37.52   
##  Residual             7213     84.93   
## Number of obs: 2119, groups:  ID, 729
## 
## Fixed effects:
##                           Estimate Std. Error         df t value Pr(>|t|)    
## (Intercept)               35.20375   10.12268 1609.84737   3.478 0.000519 ***
## Prediction_2              -0.33299    0.11978 1747.99741  -2.780 0.005494 ** 
## Prediction_2_confidence    0.14589    0.08747 1433.61040   1.668 0.095557 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) Prdc_2
## Predictin_2 -0.839       
## Prdctn_2_cn -0.551  0.070

Cut off 2 (< 1,000)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ Prediction_2 + Prediction_2_confidence + (1 | ID)
##    Data: ttcmod2
## 
## REML criterion at convergence: 22144.1
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.0708 -0.2557 -0.1930 -0.0948 12.7357 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)  368.5   19.20   
##  Residual             1803.8   42.47   
## Number of obs: 2110, groups:  ID, 728
## 
## Fixed effects:
##                           Estimate Std. Error         df t value Pr(>|t|)    
## (Intercept)               25.80816    5.09991 1514.24961   5.061 4.69e-07 ***
## Prediction_2              -0.10193    0.06054 1676.66078  -1.684   0.0924 .  
## Prediction_2_confidence   -0.05748    0.04412 1315.16129  -1.303   0.1929    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) Prdc_2
## Predictin_2 -0.838       
## Prdctn_2_cn -0.546  0.063

TTC Start and Prediction change

All observations

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ I(Prediction_1 - Prediction_2) + (1 | ID)
##    Data: df
## 
## REML criterion at convergence: 31358.7
## 
## Scaled residuals: 
##    Min     1Q Median     3Q    Max 
## -0.158 -0.054 -0.043 -0.029 43.979 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)    202.5  14.23  
##  Residual             466908.1 683.31  
## Number of obs: 1974, groups:  ID, 718
## 
## Fixed effects:
##                                Estimate Std. Error       df t value Pr(>|t|)  
## (Intercept)                      30.120     16.276 1017.721   1.851   0.0645 .
## I(Prediction_1 - Prediction_2)    1.949      1.997 1949.057   0.976   0.3291  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## I(Pr_1-P_2) -0.326

Cut off 1 (< 2,000)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ I(Prediction_1 - Prediction_2) + (1 | ID)
##    Data: ttcmod
## 
## REML criterion at convergence: 23367.8
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3307 -0.1736 -0.1459 -0.0952 16.0934 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept) 1147     33.86   
##  Residual             7171     84.68   
## Number of obs: 1973, groups:  ID, 718
## 
## Fixed effects:
##                                 Estimate Std. Error        df t value Pr(>|t|)
## (Intercept)                    2.002e+01  2.425e+00 7.610e+02   8.257 6.61e-16
## I(Prediction_1 - Prediction_2) 9.943e-02  2.658e-01 1.971e+03   0.374    0.708
##                                   
## (Intercept)                    ***
## I(Prediction_1 - Prediction_2)    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## I(Pr_1-P_2) -0.295

Cut off 2 (< 1,000)

## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: ttc_Start ~ I(Prediction_1 - Prediction_2) + (1 | ID)
##    Data: ttcmod2
## 
## REML criterion at convergence: 20664.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.0374 -0.2498 -0.2027 -0.1060 12.7068 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  ID       (Intercept)  363.9   19.08   
##  Residual             1854.2   43.06   
## Number of obs: 1965, groups:  ID, 718
## 
## Fixed effects:
##                                 Estimate Std. Error        df t value Pr(>|t|)
## (Intercept)                      15.5599     1.2762  508.1941  12.192   <2e-16
## I(Prediction_1 - Prediction_2)   -0.0103     0.1371 1958.7956  -0.075     0.94
##                                   
## (Intercept)                    ***
## I(Prediction_1 - Prediction_2)    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## I(Pr_1-P_2) -0.289

TTC_Analyses_2.0

Emily Moraes

3/4/2021

Summaries

Times

Symptom Measures

Predictions

All observations

Cut off 1 (< 2,000 mins)

Cut off 2 (< 1,000 mins)

TTC Start and PTQ

All observations

Cut off 1 (< 2,000 mins)

Cut off 1 (< 1,000 mins)

TTC Start and Prediction 1

All observations

Cut off 1 (< 2,000 mins)

Cut off 2 (< 1,000 mins)

TTC Start and Prediction 1 (controlling for confidence)

All observations

Cut off 1 (< 2,000)

Cut off 2 (< 1,000)

TTC Start and Prediction 2

All observations

Cut off 1 (< 2,000 mins)

Cut off 2 (< 1,000 mins)

TTC Start and Prediction 2 (controlling for confidence)

All observations

Cut off 1 (< 2,000)

Cut off 2 (< 1,000)

TTC Start and Prediction change

All observations

Cut off 1 (< 2,000)

Cut off 2 (< 1,000)