프레일티를 이용한 재범 자료의 연구 = Statistical Analysis of Recidivism Data Using Frailty Effect

다국어 초록 (Multilingual Abstract)

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.

참고문헌 (Reference)

1 주희종, "가석방의 출소자의 재범에 관한 한ㆍ미간 비교연구" 한국공안행정학회 12 (12): 317-342, 2001

2 Kim, Y, "The analysis of recurrent event data with incomplete observation gaps" 27 : 1075-1085, 2008

3 Cook, R. J, "The Statistical Analysis of Recurrent Events" Springer 2007

4 Liu, L, "Shared frailty models for recurrent events and terminal event" 60 : 747-756, 2004

5 Klein,J.P, "Semiparametric estimation of random effects using the Cox model based on the EM algorithm" 48 : 795-806, 1992

6 Vaida, F, "Proportional hazard model with random effects" 19 : 3309-3324, 2000

7 Huang, C. Y, "Joint modeling and estimation for recurrent event processes and failure time data" 99 : 1153-1165, 2004

8 Abramowitz, M, "Handbook of Mathematical Functions" Dover 1972

9 Sun, J, "Evaluation of trafic injury prevention programs using counting process approaches" 96 : 469-475, 2001

10 Kim,Y, "Analysis of panel count data with dependent observation time" 35 : 983-990, 2007

11 Lawless, J. F, "Analysis of interval-grouped recurrent event data using Piecewise constant rate functions" 26 : 549-565, 1998

12 Diggle, P. J, "Analysis of Longitudinal Data" Oxford Express 2002

13 Nielsen, G. G, "A counting process approach to maximum likelihood estimation in frailty models" 19 : 133-137, 1992