TY - JOUR AU - Chiou, Sy Han AU - Xu, Gongjun AU - Yan, Jun AU - Huang, Chiung-Yu PY - 2023/01/28 Y2 - 2024/03/29 TI - Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg JF - Journal of Statistical Software JA - J. Stat. Soft. VL - 105 IS - 5 SE - Articles DO - 10.18637/jss.v105.i05 UR - https://www.jstatsoft.org/index.php/jss/article/view/v105i05 SP - 1 - 34 AB - <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> ER -