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September, 1991 Weak Convergence of Time-Sequential Censored Rank Statistics with Applications to Sequential Testing in Clinical Trials
Ming Gao Gu, Tze Leung Lai
Ann. Statist. 19(3): 1403-1433 (September, 1991). DOI: 10.1214/aos/1176348254

Abstract

A general weak convergence theory is developed for time-sequential censored rank statistics in the two-sample problem of comparing time to failure between two treatment groups, such as in the case of a clinical trial in which patients enter serially and, after being randomly allocated to one of two treatments, are followed until they fail or withdraw from the study or until the study is terminated. Applications of the theory to time-sequential tests based on these censored rank statistics are also discussed.

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Ming Gao Gu. Tze Leung Lai. "Weak Convergence of Time-Sequential Censored Rank Statistics with Applications to Sequential Testing in Clinical Trials." Ann. Statist. 19 (3) 1403 - 1433, September, 1991. https://doi.org/10.1214/aos/1176348254

Information

Published: September, 1991
First available in Project Euclid: 12 April 2007

zbMATH: 0762.62020
MathSciNet: MR1126330
Digital Object Identifier: 10.1214/aos/1176348254

Subjects:
Primary: 62L10
Secondary: 60F17, 60G44, 62E20, 62G10, 62P10

Rights: Copyright © 1991 Institute of Mathematical Statistics

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Vol.19 • No. 3 • September, 1991
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