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A comparison of several tests for censored paired data
Author(s) -
Woolson Robert F.,
O'Gorman Thomas W.
Publication year - 1992
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780110206
Subject(s) - wilcoxon signed rank test , statistics , statistic , monte carlo method , test statistic , log rank test , rank (graph theory) , mathematics , exponential distribution , statistical hypothesis testing , computer science , survival analysis , combinatorics , mann–whitney u test
This paper reviews several tests for censored paired data and uses Monte Carlo methods to evaluate their sizes and powers. Each of the tests maintains its size. The Akritas test and the paired Prentice–Wilcoxon test are somewhat more powerful than the Gehan statistic or the generalized signed rank test for most of the distributions studied. If the survival times follow an exponential distribution, then the Gehan and the generalized signed rank tests are more powerful against a location shift alternative.