Dear Statalist,
Hello!
I am studying time to discontinuation of contraception between covert (or secret) users vs. open users using survival analysis. I have stset the data from “t0” (time of method initiation, 0 for everyone) until time to discontinuation or censoring; this outcome variable is “disc_exact” and is coded as 0 (continued/censored at interview) vs 1 (failed or discontinued). The duration variable to time of event is measured in months as “new_duration”. I also have a variable, “p1”, for delayed entry as many women come into my study already using contraception for a given number of months; this variable is coded as the time in months of use since method initiation and entering the study.
Here is how I st set my data:
stset new_duration [pweight=P2_P2FUweight_new], failure(disc_exact) origin(t0) enter(p1) exit(new_duration=60)
Here is the structure of my data:
. list P1_user_type t0 disc_exact new_duration p1 in 1/15
+-----------------------------------------------+
| P1_user_type t0 disc_e~t new_du~n p1 |
|-----------------------------------------------|
1. | 0. Overt use 0 0 19 7 |
2. | 1. Covert use 0 1 12 7 |
3. | 0. Overt use 0 0 95 84 |
4. | 0. Overt use 0 0 58 46 |
5. | 0. Overt use 0 0 43 31 |
|-----------------------------------------------|
6. | 0. Overt use 0 0 18 6 |
7. | 0. Overt use 0 0 24 11 |
8. | 0. Overt use 0 0 65 53 |
9. | 1. Covert use 0 1 28 27 |
10. | 0. Overt use 0 0 65 53 |
|-----------------------------------------------|
11. | 0. Overt use 0 0 12 1 |
12. | 0. Overt use 0 0 88 76 |
13. | 0. Overt use 0 0 19 7 |
14. | 0. Overt use 0 1 35 34 |
15. | 1. Covert use 0 1 59 56 |
+-----------------------------------------------+
.
When I look at the Kaplan Meir curves for the two groups, I see a crossing of the survival function (or to be exact, the failure/discontinuation function in this case) at ~20 months. I’d like to run a cox regression to analyze predictors of discontinuation of contraception by my independent variable of interest (covert/overt use) with some other covariates, and I believe this shows a proportional hazards violation. My understanding is that one approach to this is to create a piece wise regression wherein I model 0-20 months and 20-60 months but I am having trouble doing so. Do I need to use the time varying covariate? Set up multiple observations per woman?
Many many thanks in advance, I really appreciate your time.
Hello!
I am studying time to discontinuation of contraception between covert (or secret) users vs. open users using survival analysis. I have stset the data from “t0” (time of method initiation, 0 for everyone) until time to discontinuation or censoring; this outcome variable is “disc_exact” and is coded as 0 (continued/censored at interview) vs 1 (failed or discontinued). The duration variable to time of event is measured in months as “new_duration”. I also have a variable, “p1”, for delayed entry as many women come into my study already using contraception for a given number of months; this variable is coded as the time in months of use since method initiation and entering the study.
Here is how I st set my data:
stset new_duration [pweight=P2_P2FUweight_new], failure(disc_exact) origin(t0) enter(p1) exit(new_duration=60)
Here is the structure of my data:
. list P1_user_type t0 disc_exact new_duration p1 in 1/15
+-----------------------------------------------+
| P1_user_type t0 disc_e~t new_du~n p1 |
|-----------------------------------------------|
1. | 0. Overt use 0 0 19 7 |
2. | 1. Covert use 0 1 12 7 |
3. | 0. Overt use 0 0 95 84 |
4. | 0. Overt use 0 0 58 46 |
5. | 0. Overt use 0 0 43 31 |
|-----------------------------------------------|
6. | 0. Overt use 0 0 18 6 |
7. | 0. Overt use 0 0 24 11 |
8. | 0. Overt use 0 0 65 53 |
9. | 1. Covert use 0 1 28 27 |
10. | 0. Overt use 0 0 65 53 |
|-----------------------------------------------|
11. | 0. Overt use 0 0 12 1 |
12. | 0. Overt use 0 0 88 76 |
13. | 0. Overt use 0 0 19 7 |
14. | 0. Overt use 0 1 35 34 |
15. | 1. Covert use 0 1 59 56 |
+-----------------------------------------------+
.
When I look at the Kaplan Meir curves for the two groups, I see a crossing of the survival function (or to be exact, the failure/discontinuation function in this case) at ~20 months. I’d like to run a cox regression to analyze predictors of discontinuation of contraception by my independent variable of interest (covert/overt use) with some other covariates, and I believe this shows a proportional hazards violation. My understanding is that one approach to this is to create a piece wise regression wherein I model 0-20 months and 20-60 months but I am having trouble doing so. Do I need to use the time varying covariate? Set up multiple observations per woman?
Many many thanks in advance, I really appreciate your time.