LINEAR-REGRESSION ANALYSIS OF CENSORED SURVIVAL-DATA BASED ON RANK-TESTS
成果类型：
Article
署名作者：
WEI, LJ; YING, Z; LIN, DY
署名单位：
University of Illinois System; University of Illinois Urbana-Champaign; University of Washington; University of Washington Seattle
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/77.4.845
发表日期：
1990
页码：
845851
关键词：
摘要：
Recently linear rank statistics with censored data have been used as the estimating functions for the regression parameters in the linear model with an unspecified error distribution. The resulting rank estimators are consistent and asymptotically normal. However, the asymptotic variances of these estimators are complicated and are difficult to estimate well with censored data. In this paper, we propose some simple methods for making inference about a subset of the regression coefficients while regarding others as nuisance parameters. A lack-of-fit test for the linear model is also presented. The proposed procedures are illustrated with an example.