References
- Breslow, N. E. (1972). Discussion of professor Cox's paper. Journal of the Royal Statistical Society B, 34, 216-217.
- Christian, N. J., Ha, I. D. and Jeong, J. (2016). Hierarchical likelihood inference on clustered competing risks data. Statistics in Medicine, 35, 251-267. https://doi.org/10.1002/sim.6628
- Cox, D. R. (1972). Regression models and life tables (with Discussion). Journal of the Royal Statistical Society B, 74, 187-220.
- Elashoff, R. M., Li, G. and Li, N. (2008). A joint model for longitudinal measurements and survival data in the presence of multiple failure types. Biometrics, 64, 762-771. https://doi.org/10.1111/j.1541-0420.2007.00952.x
- Guo, X. and Carlin, B. P. (2004). Separate and joint modeling of longitudinal and event time data using standard computer packages. American Statistician, 58, 16-24. https://doi.org/10.1198/0003130042854
- 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, 199-207. https://doi.org/10.7465/jkdi.2012.23.1.199
- Ha, I. D. and Cho, G.-H. (2015). Variable selection in Poisson HGLMs using h-likelihood. Journal of the Korean Data & Information Science Society, 26, 1513-1521. https://doi.org/10.7465/jkdi.2015.26.6.1513
- 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
- Ha, I. D. and Lee, Y. (2003). Estimating frailty models via Poisson hierarchical generalized linear models. Journal of Computational and Graphical Statistics, 12, 663-681. https://doi.org/10.1198/1061860032256
- 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
- Ha, I.D., Park, T. and Lee, Y. (2003). Joint modelling of repeated measures and survival time data. Bio-metrical Journal, 45, 647-658.
- Henderson, R., Diggle, P. and Dobson, A. (2000). Joint modelling of longitudinal measurements and event time data. Biostatistics, 1, 465-480. https://doi.org/10.1093/biostatistics/1.4.465
- 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., Nelder, J. A. and Pawitan, Y. (2006). Generalised Linear Models with Random Effects: Unified Analysis via h-Likelihood, Chapman and Hall, London.
- Paik, M. C., Lee, Y. and Ha, I. D. (2015). Frequentist inference on random effects based on summarizability. Statistica Sinica, 25, 1107-1132.
- Ripatti, S. and Palmgren, J. (2000). Estimation of multivariate frailty models using penalized partial like-lihood. Biometrics, 56, 1016-1022. https://doi.org/10.1111/j.0006-341X.2000.01016.x
- Rizopoulos, D. (2012). Joint models for longitudinal and time-to-event data with applications in R, Chap-man and Hall, London.