Linear rank tests for censored survival data

Wei Shen, Chap T. Le

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We describe a class of rank test procedures for the two-sample problem with right censored survival data. The class of tests is directly generalized from the linear rank tests by assigning each observation a rank according to its corresponding Wilcoxon scores. It allows a flexible choice of score functions, in particular, those powerful against scale differences between the two survival distributions. Monte Carlo simulations have shown that some members of this class have great power in detecting crossing-curve alternatives (alternatives where underlying survival curves cross over). The class also contains tests essentially equivalent to the Gehan-Wilcoxon and the logrank tests.

Original languageEnglish (US)
Pages (from-to)21-36
Number of pages16
JournalCommunications in Statistics Part B: Simulation and Computation
Volume29
Issue number1
DOIs
StatePublished - Jan 2000

Keywords

  • Crossing-curves
  • Logrank test
  • Score functions
  • Wilcoxon test

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