LINEAR RANK-TESTS WITH RIGHT CENSORED DATA
成果类型：
Article
署名作者：
PRENTICE, RL
署名单位：
University of Washington; University of Washington Seattle
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2335292
发表日期：
1978
页码：
167179
关键词：
摘要：
Linear rank statistics are developed for tests on regression coefficients with censored data. These statistics arise as score statistics based on the marginal probability of a generalized rank vector. The observed Fisher information provides a variance estimator generally, while in certain special cases a permutation approach to variance estimation is also possible. The Wilcoxon test is generalized to regression tests with censored data. The log rank test is also produced as a special case.