A semiparametric additive rate model for recurrent events with an informative terminal event

• 成果类型: Article
• 署名作者: Zeng, Donglin; Cai, Jianwen
• 署名单位: University of North Carolina; University of North Carolina Chapel Hill
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/asq039
• 发表日期: 2010
• 页码: 699712
• 关键词: transformation models; regression

摘要

We propose a semiparametric additive rate model for modelling recurrent events in the presence of a terminal event. The dependence between recurrent events and terminal event is nonparametric. A general transformation model is used to model the terminal event. We construct an estimating equation for parameter estimation and derive the asymptotic distributions of the proposed estimators. Simulation studies demonstrate that the proposed inference procedure performs well in realistic settings. Application to a medical study is presented.