MODELS FOR CENSORED SURVIVAL ANALYSIS - CONSTANT-SUM AND VARIABLE-SUM MODELS
成果类型：
Article
署名作者：
WILLIAMS, JS; LAGAKOS, SW
署名单位：
Colorado State University System; Colorado State University Fort Collins; State University of New York (SUNY) System; University at Buffalo, SUNY
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2335687
发表日期：
1977
页码：
215224
关键词：
摘要：
In the analysis of survival-type variables arising from medical investigations, one is often faced with incomplete or right-censored observations. In many cases the mechanisms leading to censoring are intrinsically related to the survival variable and standard methods of analysis are not appropriate. Consequences are examined of the dependence of survival on the causes of censoring. Also examined are the testability of a set of data for the importance in survival inferences of the underlying censoring mechanism as well as the consequences of falsely assuming that the censoring mechanism does not affect inferences about survival. The special case in which survival is exponential is discussed in detail.