References
- Cook, J. and Lawless, J. F. (2007). The statistical analysis of recurrent events, Springer, New York.
- Duchateau, L., Janssen, P., Kezic, I. and Fortpied, C. (2003). Evolution of recurrent asthma event rate over time in frailty models. Applied Statistics, 52, 355-363.
- Ha, I. D. and Cho, G. H. (2012). H-likelihood approach for variable selection in gamma frailty models. Journal of the Korean Data & Information Science Society, 23, 190-207. https://doi.org/10.7465/jkdi.2012.23.1.199
- Ha, I. D. and Noh, M. (2013). A visualizing method for investigating individual frailties using frailtyHL R-package. Journal of the Korean Data & Information Science Society, 24, 931-940. https://doi.org/10.7465/jkdi.2013.24.4.931
- Kelly, P. J. and Lim, L. (2000). Survival analysis for recurrent event data: An application to childhood infectious diseases. Statistics in Medicine, 19, 13-33. https://doi.org/10.1002/(SICI)1097-0258(20000115)19:1<13::AID-SIM279>3.0.CO;2-5
- Kim, Y. (2013). Survival analysis, Free academy, Seoul.
- Kim, Y. (2010). Statistical analysis of recidivism data using frailty effect. The Korean Journal of Applied Statistics, 23, 715-724. https://doi.org/10.5351/KJAS.2010.23.4.715
- Kim, Y. (2014). Regression analysis of recurrent events data with incomplete observation gaps. Journal of Applied Statistics, in press.
- Klein, J. P. and Moeschberger, M. L. (1997). Survival analysis: Techniques for censored and truncated data, Springer, New York.
- McGilchrist, C. A. and Aisbertt, C. W. (1991). Regression with frailty in survival analysis. Biometrics, 47, 461-466. https://doi.org/10.2307/2532138
- Nielsen, G. G., Gill, R. D., Andersen, P. K. and Sorensen, T. I. A. (1992). A counting process approach to maximum likelihood estimator in frailty models. Scandinavian Journal of Statistics, 19, 25-43.
- Pan, W. (1999). Extending the Iterative convex minorant algorithm to the Cox model for interval-censored data. Journal of Computational and Graphical Statistics, 8, 109-120.
- Ripatti, S. and Palmgren, J. (2000). Estimation of multivariate frailty models using penalized partial likelihood. Biometrics, 56, 101-1022.
- Sahu, S. K., Dey, D. K., Aslanidou, H. and Sinha, D. (1997). A Weibull regression model with gamma frailties for multivariate survival data. Lifetime Data Analysis, 3, 123-137. https://doi.org/10.1023/A:1009605117713
- Sun, J., Kim, Y. J., Hewett, J., Johnson, J. C., Farmer, J. and Gibler, M. (2001). Evaluation of traffic injury prevention programs using counting process approaches. Journal of the American Statistical Association, 96, 469-475. https://doi.org/10.1198/016214501753168181
- Therneau, T., Grambsch, P. and Pankratz, V. (2003). Penalized survival models and frailty. Journal of Computational and Graphical Statistics, 12, 156-175. https://doi.org/10.1198/1061860031365
- Turnbull, B. W. (1976). The empirical distribution function with arbitrarily grouped censored and truncated data. Journal of the Royal Statistical Society B, 38, 290-295.
Cited by
- Variable selection in Poisson HGLMs using h-likelihoood vol.26, pp.6, 2015, https://doi.org/10.7465/jkdi.2015.26.6.1513
- Comparison of parametric and nonparametric hazard change-point estimators vol.27, pp.5, 2016, https://doi.org/10.7465/jkdi.2016.27.5.1253
- Analysis of recurrent event data with incomplete observation gaps using piecewise models vol.25, pp.5, 2014, https://doi.org/10.7465/jkdi.2014.25.5.1117
- Estimation of hazard function and hazard change-point for the rectal cancer data vol.26, pp.6, 2015, https://doi.org/10.7465/jkdi.2015.26.6.1225