contal | R Documentation |
Apply contal o quigley method
contal(time = NULL, status = NULL, marker = NULL)
time |
time variable |
status |
status variable |
marker |
marker variable |
## Klein Moeschberg example pag 274 data(kidtran, package = "KMsurv") kidtran <- within(kidtran, { gender <- factor(gender, levels = c(1,2), labels = c('male', 'female')) race <- factor(race, levels = c(1,2), labels = c('white', 'black')) }) k_spl <- split(kidtran, f = list(kidtran$race, kidtran$gender)) k_spl <- k_spl[c(2,1,4,3)] expanded <- lapply(k_spl, function(x){ contal(time = x$time, status = x$delta, marker = x$age) }) expanded[1] ## expanded_survmisc <- lapply(k_spl, function(x){ ## df = data.frame(time = x$time, ## status = x$delta, ## marker = x$ag) ## cox <- survival::coxph(Surv(time = time, event = status) ~ marker, ## data = df) ## survMisc::cutp(cox) ## }) compact <- do.call(rbind, lapply(expanded, function(x) x$optimal)) compact
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