Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg

• Published in: Journal of statistical software Vol. 105; no. 5
• Main Authors: Chiou, Sy Han, Xu, Gongjun, Yan, Jun, Huang, Chiung-Yu
• Format: Journal Article
• Language: English
• Published: United States Foundation for Open Access Statistics 2023
• Subjects: event plot; frailty; joint model; mean cumulative function; simulation; survival data; survival data; frailty; mean cumulative function; event plot; joint model; simulation
• ISSN: 1548-7660; 1548-7660
• DOI: 10.18637/jss.v105.i05

Recurrent event analyses have found a wide range of applications in biomedicine, public health, and engineering, among others, where study subjects may experience a sequence of event of interest during follow-up. The R package offers a comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events, possibly with the presence of an informative terminal event. The regression framework is a general scale-change model which encompasses the popular Cox-type model, the accelerated rate model, and the accelerated mean model as special cases. Informative censoring is accommodated through a subject-specific frailty without any need for parametric specification. Different regression models are allowed for the recurrent event process and the terminal event. Also included are visualization and simulation tools.