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

Dublin Core

Title

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

Subject

event plot, frailty, joint model, mean cumulative function, simulation, survival
data.

Description

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 scalechange 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

Creator

Sy Han Chiou

Source

https://www.jstatsoft.org/article/view/v105i05

Publisher

https://www.jstatsoft.org/article/view/v105i05

Date

January 2023

Contributor

Fajar Bagus W

Format

PDF

Language

English

Type

Text

Files

Citation

Sy Han Chiou, “Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8286.