Hi all, I need your help. I want to have the adjusted Kaplan Meier by treatment group – a time varying covariate, adjusting for gender, race, crea, fib, alb. Of the covariates: gender, race, and crea (continuous variable) are fixed variables, and fib (categorical variable) and alb (continuous variable) are time varying covariates. For ‘crea’ I can get means by group, but I am not sure how to deal with alb as it is time varying covariate. The link below has some guidance for doing it but it is all about fixed variables. https://stats.idre.ucla.edu/sas/seminars/sas-survival/ I really appreciate any comments/guidance. Hao proc phreg data=TOTAL; class treatment (ref='0') gender(ref='0') race(ref='0') FIB (ref='0'); model (start_final,stop_final)*outcome (0)= treatment gender race crea FIB alb/RL; run; ID Treatment outcome start_final stop_final gender race crea FIB alb 1 0 0 0 1 0 999 0.98 2 4 1 0 0 1 2 0 999 0.98 1 3.7 1 0 0 2 3 0 999 0.98 999 3.7 1 0 0 3 3.617 0 999 0.98 2 3.8 1 1 0 3.617 4 0 999 0.98 2 3.8 1 1 0 4 5 0 999 0.98 2 3.8 1 1 0 5 6 0 999 0.98 2 3.8 1 1 0 6 6.245 0 999 0.98 2 3.8 2 0 0 0 1 0 0 0.9 2 3.6 2 0 0 1 2 0 0 0.9 1 4.3 2 0 0 2 3 0 0 0.9 0 4 2 0 0 3 3.047 0 0 0.9 0 4.4 3 0 0 0 1 0 3 0.98 2 4.1 3 0 0 1 2 0 3 0.98 2 4 3 0 0 2 3 0 3 0.98 2 4.1 3 0 0 3 4 0 3 0.98 2 4 3 0 0 4 5 0 3 0.98 1 4.2 3 0 0 5 6 0 3 0.98 1 4.9 3 0 1 6 6.486 0 3 0.98 1 4.6
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