Statistical Analysis of Recidivism Data Using Frailty Effect Kim, Yang-Jin;
Recurrent event data occurs when a subject experience the event of interest several times and has been found in biomedical studies, sociology and engineering. Several diverse approaches have been applied to analyze the recurrent events (Cook and Lawless, 2007). In this study, we analyzed the YTOP(Young Traffic Offenders Program) dataset which consists of 192 drivers with conviction dates by speeding violation and traffic rule violation. We consider a subject-specific effect, frailty, to reflect the individual's driving behavior and extend to time-varying frailty effect. Another feature of this study is about the redefinition of risk set. During the study, subject may be under suspension and this period is regarded as non-risk period. Thus the risk variables are reformatted according to suspension and termination time.
Statistical analysis of recurrent gap time events with incomplete observation gaps, Journal of the Korean Data and Information Science Society, 2014, 25, 2, 327
Joint model of longitudinal data with informative observation time and competing risk, Korean Journal of Applied Statistics, 2016, 29, 1, 113
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