NONPARAMETRIC-ESTIMATION AND TESTING IN A CURE MODEL

被引：84

作者：

LASKA, EM ^{[1
]}

MEISNER, MJ ^{[1
]}

机构：

[1] NYU MED CTR,NEW YORK,NY 10016

来源：

BIOMETRICS | 1992年 / 48卷 / 04期

关键词：

CLINICAL TRIALS; LIKELIHOOD RATIO TEST; PRODUCT LIMIT ESTIMATOR; 2-SAMPLE TEST;

D O I：

10.2307/2532714

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Nonparametric generalized maximum likelihood product limit point estimators and confidence intervals are given for a cure model with random censorship. One-, two-, and K-sample likelihood ratio tests for inference on the cure rates are developed. In the two-sample case its power is compared to the power of several alternatives, including the log-rank and Gray and Tsiatis (1989, Biometrics 45, 899-904) tests. Implications for the use of the likelihood ratio test in a clinical trial designed to compare cure rates are discussed.

引用

页码：1223 / 1234

页数：12

共 28 条

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