title: A semiparametric additive rate model for recurrent events with an informative terminal event.
abstract: 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.
authors: Department of Biostatistics, CB# 7420 , University of North Carolina at Chapel Hill , Chapel Hill, North Carolina 27599-7420 , U.S.A. dzeng@bios.unc.edu cai@bios.unc.edu.
authors: Donglin
authors: D
authors: Zeng
authors: Jianwen
authors: J
authors: Cai
keywords: Additive rate model; Estimating equation; Recurrent event; Terminal event; Transformation model
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