LEAST-SQUARES REGRESSION WITH CENSORED DATA
成果类型：
Article
署名作者：
MILLER, RG
署名单位：
Stanford University
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/63.3.449
发表日期：
1976
页码：
449464
关键词：
摘要：
The analysis for a standard linear regression model is extended to the case of data randomly censored on the right. The slope and intercept estimators are weighted linear combinations of the uncensored observations where the weights are derived from the Kaplan-Meier product-limit estimator of a distribution function. Some distribution theory for the slope estimator is given. For illustration the estimators are applied to the Stanford heart transplant data.