I meet a problem by doing a nest-case control study. Since both cases and controls are from a cohort and have exposures information in time-dependent manner, just wonder how to account for these time-dependent covariates in the conditional logistic regression analysis.
Is the way in conditional regression similar as COX regression?
PROC PHREG DATA = count;
MODEL (start, stop)*censor(0) = sex marital age weight height;
STRATA id;
RUN;
Thank you.
Sincerely.
Yelson, Tseng, MD
You can also fit the conditional model by using a STRATA statement in PROC LOGISTIC. See the example in the LOGISTIC documentation. The predictors do not have to be fixed within a stratum, so you can simply include the time-varying predictors along with the others in your model.
I think you should use PROC GLIMMIX , put ID and TIME variables into random / repeated statement.
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