Account for time-varying covariates in conditional logistic regression analysis in SAS

[zinojeng]

  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

[StatDave]

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.

[Ksharp]

I think you should use PROC GLIMMIX , put ID and TIME variables into random / repeated statement.