Test the survival difference between groups of subjectsSource:
Test the survival difference between groups of subjects
survTermsobject: survival terms obtained after running
Arguments passed on to
expression indicating which subset of the rows of data should be used in the fit. This can be a logical vector (which is replicated to have length equal to the number of observations), a numeric vector indicating which observation numbers are to be included (or excluded if negative), or a character vector of row names to be included. All observations are included by default.
a missing-data filter function. This is applied to the
model.frameafter any subset argument has been used. Default is
a scalar parameter that controls the type of test.
process times through the
aeqSurvfunction to eliminate potential roundoff issues.
Other functions to analyse survival:
require("survival") data <- aml timeStart <- "event" event <- "event" followup <- "time" data$event <- NA data$event[aml$status == 1] <- aml$time[aml$status == 1] censoring <- "right" formulaStr <- "x" survTerms <- processSurvTerms(data, censoring=censoring, event=event, timeStart=timeStart, followup=followup, formulaStr=formulaStr) testSurvival(survTerms) #>  0.0653