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A General Class of Nonparametric Tests for Survival Analysis

Michael P. Jones and John Crowley
Biometrics
Vol. 45, No. 1 (Mar., 1989), pp. 157-170
DOI: 10.2307/2532042
Stable URL: http://www.jstor.org/stable/2532042
Page Count: 14
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
A General Class of Nonparametric Tests for Survival Analysis
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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 (⩾2)-sample, s-sample trend, and single continuous covariate problems.

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