Testing equality of survival functions based on both paired and unpaired censored data.

Abstract:

:We introduce two test procedures for comparing two survival distributions on the basis of randomly right-censored data consisting of both paired and unpaired observations. Our procedures are based on generalizations of a pooled rank test statistic previously proposed for uncensored data. One generalization adapts the Prentice-Wilcoxon score, while the other adapts the Akritas score. The use of these particular scoring systems in pooled rank tests with randomly right-censored paired data has been advocated by several researchers. Our test procedures utilize the permutation distributions of the test statistics based on a novel manner of permuting the scores. Permutation versions of tests for right-censored paired data and for two independent right-censored samples that use the proposed scoring systems are obtained as special cases of our test procedures. Simulation results show that our test procedures have high power for detecting scale and location shifts in exponential and log-logistic distributions for the survival times. We also demonstrate the advantages of our test procedures in terms of utilizing randomly occurring unpaired observations that are discarded in test procedures for paired data. The tests are applied to skin graft data previously reported elsewhere.

journal_name

Biometrics

journal_title

Biometrics

authors

Dallas MJ,Rao PV

doi

10.1111/j.0006-341x.2000.00154.x

subject

Has Abstract

pub_date

2000-03-01 00:00:00

pages

154-9

issue

1

eissn

0006-341X

issn

1541-0420

journal_volume

56

pub_type

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