SEQUENTIAL-ANALYSIS OF THE PROPORTIONAL HAZARDS MODEL
成果类型：
Article
署名作者：
SELLKE, T; SIEGMUND, D
署名单位：
Stanford University
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1983
页码：
315326
关键词：
摘要：
For the proportional hazards model of survival analysis, an appropriate large-sample theory is developed for cases of staggered entry and sequential analysis. The principal techniques involve an approximation of the score process by a suitable martingale and a random rescaling of time based on the observed Fisher information. The score process of the partial likelihood and the maximum partial likelihood estimator behave asymptotically like Brownian motion.