A general class of nonparametric tests for survival analysis

M P Jones; J Crowley

doi:10.2307/2532042

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A general class of nonparametric tests for survival analysis

Journal article

Peer reviewed

A general class of nonparametric tests for survival analysis

M P Jones and J Crowley

Biometrics, Vol.45(1), pp.157-170

03/1989

DOI: 10.2307/2532042

PMID: 2655728

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Abstract

Tarone and Ware (1977, Biometrika 64, 156-160) developed a general class of s-sample test statistics for right-censored survival data that includes the log-rank and modified Wilcoxon procedures. Subsequently, many authors have considered two- and s-sample classes in detail. In this paper a family of nonparametric statistics is shown to unify existing and generate new test statistics for the s (greater than or equal to 2)-sample, s-sample trend, and single continuous covariate problems.

Glioma - mortality

Time Factors

Humans

Decision Support Techniques

Male

Risk

Actuarial Analysis

Brain Neoplasms - mortality

Models, Statistical

Sampling Studies

Biometry

Details

Title: Subtitle: A general class of nonparametric tests for survival analysis
Creators: M P Jones - Department of Preventive Medicine, College of Medicine, University of Iowa, Iowa City 52242
J Crowley
Resource Type: Journal article
Publication Details: Biometrics, Vol.45(1), pp.157-170
Publisher: United States
DOI: 10.2307/2532042
PMID: 2655728
ISSN: 0006-341X
eISSN: 1541-0420
Grant note: CA39065 / NCI NIH HHS T32 CA09168 / NCI NIH HHS
Language: English
Date published: 03/1989
Academic Unit: Statistics and Actuarial Science; Biostatistics; Public Policy Center (Archive)
Record Identifier: 9983985881402771

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