imputeHeinze function

imputeHeinze

imputeHeinze

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

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)

Returns

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.

  • Maintainer: Matthias Brueckner
  • License: GPL-3 | file LICENSE
  • Last published: 2017-08-07

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