@article{JSSv105i05, title={Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg}, volume={105}, url={https://www.jstatsoft.org/index.php/jss/article/view/v105i05}, doi={10.18637/jss.v105.i05}, abstract={<p>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.</p>}, number={5}, journal={Journal of Statistical Software}, author={Chiou, Sy Han and Xu, Gongjun and Yan, Jun and Huang, Chiung-Yu}, year={2023}, pages={1–34} }