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Did you mean: rf_eval
2006 Feb 26
0
frailty in coxph or repeated measures in cph (Design)
...For example: id <- c(a,a,a,b,b,b) # patient id risenumber <- c(1,2,3,1,2,3) # number of each rise per patient clinfail <- c(1,1,1,0,0,0) # censored indicator of clinical failure status (the endpoint) clinfailtime <- c(5,4,3,10,9,8) # time from rise to clinical failure endpoint riseval <- c(10,20,30,1,2,3) # value of test at the time of rise timesinceRx <- c(1,2,3,1,2,3) # years since treatment Rxtype <- c(c,c,c,d,d,d) # type of treatment ...plus other variables at time of rise plus pre-treatment variables In generic terms, analysis would be: fit <- cph(Surv(c...