Related Experiment Video
Updated: May 8, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
A semiparametric additive rate model for recurrent events with an informative terminal event
1Department 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.
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.
Related Concept Videos
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Censoring Survival Data
Assumptions of Survival Analysis
Hazard Rate
Kaplan-Meier Approach
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time until a...

