Linear rank tests for censored survival data
作者:
Wei Shen,
Chap T. Le,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 2000)
卷期:
Volume 29,
issue 1
页码: 21-36
ISSN:0361-0918
年代: 2000
DOI:10.1080/03610910008813599
出版商: Marcel Dekker, Inc.
关键词: Crossing-curves;Logrank test;Score functions;Wilcoxon test
数据来源: Taylor
摘要:
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.
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