Looking at variable interactions with foreign born status in all
Hispanic women population
| Variable interactions in all Hispanic women model |
|
coef |
exp(coef) |
se(coef) |
z |
Pr(>|z|) |
| SE1 |
0.281363034 |
1.3249345 |
0.3943710 |
0.71344764 |
0.475568802859663 |
| firstmenst1:SE1 |
0.170628308 |
1.1860498 |
0.4699933 |
0.36304414 |
0.716571912560819 |
| firstmenst2:SE1 |
-0.477827131 |
0.6201294 |
0.5057323 |
-0.94482221 |
0.344749651004272 |
| SE11 |
1.630987579 |
5.1089177 |
0.6304214 |
2.58713869 |
*0.00967766296366108 |
| birth1:SE1 |
-1.666220045 |
0.1889600 |
0.6733180 |
-2.47464059 |
*0.0133370317935164 |
| birth2:SE1 |
-1.500511845 |
0.2230160 |
0.7117554 |
-2.10818466 |
*0.0350150199293235 |
| SE12 |
0.183944339 |
1.2019489 |
0.6841233 |
0.26887600 |
0.788025102582952 |
| BFHS:SE1 |
0.001106725 |
1.0011073 |
0.0253479 |
0.04366143 |
0.965174281447233 |
| SE13 |
0.392942152 |
1.4813327 |
0.2086697 |
1.88308191 |
0.0596892683729953 |
| BIOP1:SE1 |
-0.651643743 |
0.5211884 |
0.3974690 |
-1.63948314 |
0.101112679271387 |
| Cox model including age at first menstrual variable |
## [1] "coxph(formula = Surv(study.entry.age, study.exit.age, observed.outcome) ~ \n firstmenst + birth + BFHS + BIOP + SE1 * BIOP + SE1 * BFHS + \n SE1 * firstmenst + SE1 * birth, data = ss.hispanic)"
## Warning: There was 1 warning in `mutate()`.
## ℹ In argument: `factor.name = map_chr(coefficient_labels, symbol_substring, call_symbols)`.
## Caused by warning:
## ! `as_logical()` is deprecated as of rlang 0.4.0
## Please use `vctrs::vec_cast()` instead.
## This warning is displayed once every 8 hours.
| Running all interactions in one cox model |
|
factor.id |
factor.name |
factor.value |
HR |
Lower_CI |
Upper_CI |
Inv_HR |
Inv_Lower_CI |
Inv_Upper_CI |
p |
| 1 |
firstmenst:1 |
firstmenst |
1 |
0.9340159 |
0.47790804 |
1.8254259 |
1.0706456 |
0.54781737 |
2.0924528 |
0.841742407719328 |
| 2 |
firstmenst:2 |
firstmenst |
2 |
1.5225459 |
0.77176250 |
3.0037039 |
0.6567946 |
0.33292230 |
1.2957354 |
0.225270810623344 |
| 3 |
birth:1 |
birth |
1 |
3.6235166 |
1.12348295 |
11.6867570 |
0.2759750 |
0.08556694 |
0.8900892 |
*0.0311741083372335 |
| 4 |
birth:2 |
birth |
2 |
3.1915950 |
0.93470869 |
10.8978108 |
0.3133230 |
0.09176155 |
1.0698520 |
0.0639969765626331 |
| 5 |
BFHS |
BFHS |
<continuous> |
1.0480057 |
1.00920440 |
1.0882988 |
0.9541933 |
0.91886533 |
0.9908796 |
*0.0148523206742506 |
| 6 |
BIOP:1 |
BIOP |
1 |
1.8829011 |
1.10812204 |
3.1993919 |
0.5310953 |
0.31255939 |
0.9024277 |
*0.0193082840049912 |
| 7 |
SE1 |
SE1 |
<continuous> |
5.9316255 |
0.86683144 |
40.5894154 |
0.1685879 |
0.02463696 |
1.1536268 |
0.069628159544089 |
| 8 |
BIOP:1:SE1 |
BIOP |
1:SE1 |
0.5431205 |
0.24784601 |
1.1901741 |
1.8412119 |
0.84021318 |
4.0347634 |
0.127255755266354 |
| 9 |
BFHS::SE1 |
BFHS |
:SE1 |
1.0029139 |
0.95355275 |
1.0548303 |
0.9970945 |
0.94801976 |
1.0487097 |
0.910034078473293 |
| 10 |
firstmenst:1:SE1 |
firstmenst |
1:SE1 |
1.1246174 |
0.44661165 |
2.8319105 |
0.8891913 |
0.35311850 |
2.2390817 |
0.803168039918471 |
| 11 |
firstmenst:2:SE1 |
firstmenst |
2:SE1 |
0.6300024 |
0.23336915 |
1.7007521 |
1.5872955 |
0.58797517 |
4.2850566 |
0.361844982980105 |
| 12 |
birth:1:SE1 |
birth |
1:SE1 |
0.1972778 |
0.05265655 |
0.7391014 |
5.0689941 |
1.35299441 |
18.9909882 |
*0.0160148899965999 |
| 13 |
birth:2:SE1 |
birth |
2:SE1 |
0.2308220 |
0.05717374 |
0.9318753 |
4.3323426 |
1.07310501 |
17.4905458 |
*0.0394888889342974 |
Interactions with first degree family history fem variable
# First deg history fem variable
Fhmodel_int_all <- coxph(Surv(study.entry.age, study.exit.age, observed.outcome) ~ firstmenst + birth + Fh + BIOP + SE1 * BIOP + SE1 * Fh + SE1 * firstmenst +
SE1 * birth, data = ss.hispanic)
summary(Fhmodel_int_all)
## Call:
## coxph(formula = Surv(study.entry.age, study.exit.age, observed.outcome) ~
## firstmenst + birth + Fh + BIOP + SE1 * BIOP + SE1 * Fh +
## SE1 * firstmenst + SE1 * birth, data = ss.hispanic)
##
## n= 2436, number of events= 130
##
## coef exp(coef) se(coef) z Pr(>|z|)
## firstmenst1 -0.003233 0.996772 0.340174 -0.010 0.9924
## firstmenst2 0.444118 1.559114 0.346042 1.283 0.1993
## birth1 1.284853 3.614138 0.597440 2.151 0.0315 *
## birth2 1.172982 3.231616 0.626812 1.871 0.0613 .
## Fh1 -0.004790 0.995221 0.594386 -0.008 0.9936
## BIOP1 0.687890 1.989513 0.269897 2.549 0.0108 *
## SE1 1.364599 3.914153 1.140805 1.196 0.2316
## BIOP1:SE1 -0.589668 0.554511 0.398827 -1.479 0.1393
## Fh1:SE1 0.634936 1.886902 0.934705 0.679 0.4970
## firstmenst1:SE1 0.050699 1.052006 0.469908 0.108 0.9141
## firstmenst2:SE1 -0.463435 0.629119 0.506003 -0.916 0.3597
## birth1:SE1 -1.693206 0.183929 0.673584 -2.514 0.0119 *
## birth2:SE1 -1.532886 0.215912 0.712163 -2.152 0.0314 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## exp(coef) exp(-coef) lower .95 upper .95
## firstmenst1 0.9968 1.0032 0.51173 1.9416
## firstmenst2 1.5591 0.6414 0.79127 3.0721
## birth1 3.6141 0.2767 1.12063 11.6559
## birth2 3.2316 0.3094 0.94597 11.0398
## Fh1 0.9952 1.0048 0.31044 3.1905
## BIOP1 1.9895 0.5026 1.17222 3.3766
## SE1 3.9142 0.2555 0.41839 36.6179
## BIOP1:SE1 0.5545 1.8034 0.25376 1.2117
## Fh1:SE1 1.8869 0.5300 0.30208 11.7861
## firstmenst1:SE1 1.0520 0.9506 0.41882 2.6424
## firstmenst2:SE1 0.6291 1.5895 0.23336 1.6961
## birth1:SE1 0.1839 5.4369 0.04912 0.6887
## birth2:SE1 0.2159 4.6315 0.05347 0.8719
##
## Concordance= 0.619 (se = 0.026 )
## Likelihood ratio test= 20.69 on 13 df, p=0.08
## Wald test = 18.04 on 13 df, p=0.2
## Score (logrank) test = 19.03 on 13 df, p=0.1