imputeHeinze: imputeHeinze

In permGS: Permutational Group Sequential Test for Time-to-Event Data

Description

Impute data according to Heinze et al. method. Output is supposed to be passed to permute.heinze

Usage

imputeHeinze(data, pool = TRUE)

Arguments

data	matrix as returned by as.matrix(generateData(param))
pool	if TRUE impute events times from pooled Kaplan-Meier estimator (default: TRUE)

Value

list containing Kaplan-Meier estimators of censoring and survival distributions and the original data

References

Heinze, G., Gnant, M. and Schemper, M. Exact Log-Rank Tests for Unequal Follow-Up. Biometrics, 59(4), December 2003.

permGS documentation built on May 2, 2019, 9:16 a.m.