References
- Breslow, N. E. (1972). Discussion of professor Cox's paper.
- Breslow, N. E. (1974). Covariance analysis of censored survival data. Biometrics, 30, 89-99. https://doi.org/10.2307/2529620
- Cox, D. R. (1972). Regression models and life-tables (with discussion). Journal of the Royal Statistical Society, B, 34, 187-220.
- Duchateau, L. and Janssen, P. (2008). The frailty model, Springer-Verlag, New York.
- Ha, I. D. (2006). On profile likelihood for gamma frailty models. Journal of Korean Data & Information, 17, 999-1007.
- Ha, I. D. (2008). On estimation of random effect in Poisson HGLMs. Journal of Korean Data & Information, 19, 375-383.
- Ha, I. D. and Lee, Y. (2003). Estimating frailty models via Poisson hierarchical generalized linear models. Journal of Computational Graphical Statistics, 12, 663-681. https://doi.org/10.1198/1061860032256
- Ha, I. D. and Lee, Y. (2005). Comparison of hierarchical likelihood versus orthodox best linear unbiased predictor approaches for frailty models. Biometrika, 92, 717-723. https://doi.org/10.1093/biomet/92.3.717
- Ha, I. D., Lee, Y. and MacKenzie, G. (2007). Model selection for multi-component frailty models. Statistics in Medicine, 26, 4790-4807. https://doi.org/10.1002/sim.2879
- Ha, I. D., Lee, Y. and Song, J. K. (2001). Hierarchical likelihood approach for frailty models. Biometrika, 88, 233-243. https://doi.org/10.1093/biomet/88.1.233
- Hougaard, P. (2000). Analysis of multivariate survival Data, Springer-Verlag, New York.
- Lee, Y. and Nelder, J. A. (1996). Hierarchical generalized linear models (with discussion). Journal of the Royal Statistical Society B, 58, 619-678.
- Lee, Y. and Nelder, J. A. (2001). Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions. Biometrika, 88, 987-1006. https://doi.org/10.1093/biomet/88.4.987
- Lee, Y. and Nelder, J. A. and Pawitan, Y. (2006). Generalised linear models with random effects: Unified analysis via h-likelihood, Chapman and Hall, London.
- McGilchrist, C. A. (1993). REML estimation for survival models with frailty. Biometrics, 49, 221-225. https://doi.org/10.2307/2532615
- McGilchrist, C. A. and Aisbett, 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 estimation in frailty models. Scandinavian Journal of Statistics, 19, 25-44.
- Ripatti, S. and Palmgren, J. (2000). Estimation of multivariate frailty models using penalized partial likelihood. Biometrics, 56, 1016-1022. https://doi.org/10.1111/j.0006-341X.2000.01016.x
- Therneau, T. M. and Grambsch, P. M. (2000). Modelling survial data: extending the Cox model, Springer-Verlag, New York.
- Vaida, F. and Xu, R. (2000). Proportional hazards model with random effects. Statistics in Medicine, 19, 3309-3324. https://doi.org/10.1002/1097-0258(20001230)19:24<3309::AID-SIM825>3.0.CO;2-9
- Yau, K. K. W. (2001). Multilevel models for survival analysis with random effects. Biometrics, 57, 96-102. https://doi.org/10.1111/j.0006-341X.2001.00096.x