Case-cohort and case-control analysis with Cox's model

• 成果类型: Article
• 署名作者: Chen, K; Lo, SH
• 署名单位: Hong Kong University of Science & Technology; Columbia University
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/86.4.755
• 发表日期: 1999
• 页码: 755764
• 关键词: regression-model

摘要

Prentice (1986) proposed the case-cohort design and studied a pseudolikelihood estimator of regression parameters in Cox's model. We derive a class of estimating equations for case-cohort sampling, each depending on a different estimator of the population distribution, which lead naturally to simple estimators that improve on Prentice's pseudolikelihood estimator. We also discuss an equivalence between case-control and case-cohort sampling in terms of the estimation of regression parameters in Cox's model.