Question

我正在使用mlr，并且希望能够将Cox PH模型的扩展版本用于右删减的时间相关协变量。这是我尝试过的，遵循了随时间变化的协变量https://cran.microsoft.com/web/packages/survival/vignettes/timedep.pdf（第3.4节）上的小插图：

library(survival)
library(mlr)
data(pbc)

temp <- subset(pbc, id <= 312, select=c(id:sex, stage)) # baseline
pbc2 <- tmerge(temp, temp, id=id, death = event(time, status)) #set range
pbc2 <- tmerge(pbc2, pbcseq, id=id, ascites = tdc(day, ascites),
               bili = tdc(day, bili), albumin = tdc(day, albumin),
               protime = tdc(day, protime), alk.phos = tdc(day, alk.phos))

pbc.task <- makeSurvTask(data = pbc2, target = c("tstart", "tstop", "status"))
cox.lrn <- makeLearner(cl="surv.coxph", predict.type="response")
mod = train(cox.lrn, pbc.task)

创建任务时，出现以下错误消息：

Error in makeSurvTask(data = pbc2, target = c("tstart", "tstop", "status")) : 
  Assertion on 'target' failed: Must have length 2, but has length 3.

因此，显然我不能同时将tstart和tstop都传递给makeSurvTask。是否可以在mlr中的cox模型中使用时间相关变量？

mlr教程表明可以使用间隔审查的数据：

Survival tasks use two target columns. For left and right censored problems
these consist of the survival time and a binary event indicator. For interval
censored data the two target columns must be specified in the "interval2"
format (see survival::Surv()).

是否可以将interval2格式用于与时间相关的数据？如果是这样，该怎么办？

MLR-随时间变化的数据进行生存分析

0 个答案: