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

ABSTRACT: 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 reReg 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 termi

SUBMITTER: Chiou SH 

PROVIDER: S-EPMC10997344 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature