1 |
Lee, Y. and Nelder, J. A. and Pawitan, Y. (2006). Generalised linear models with random effects: Unified analysis via h-likelihood, London, Chapman and Hall.
|
2 |
Legrand, C., Ducrocq, V., Janssen, P., Sylvester, R. and Duchateau, L. (2005). A Bayesian approach to jointly estimate centre and treatment by centre heterogeneity in a proportional hazards model. Statistics in Medicine, 24, 3789-3804.
DOI
ScienceOn
|
3 |
Vaida, F. and Xu, R. (2000). Proportional hazards model with random effects. Statistics in Medicine, 19, 3309-3324.
DOI
ScienceOn
|
4 |
Lee, Y and Ha, I. D. (2010). Orthodox BLUP versus h-likelihood methods for inferences about random effects in Tweedie mixed models. Statistics and Computing, 20, 295-303.
DOI
ScienceOn
|
5 |
Lee, Y. and Nelder, J. A. (1996). Hierarchical generalized linear models (with discussion), Journal of the Royal Statistical Society B, 58, 619-678.
|
6 |
Ha, I. D., Lee, Y. and Song, J.-K. (2001). Hierarchical likelihood approach for frailty models. Biometrika, 88, 233-243.
DOI
ScienceOn
|
7 |
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.
DOI
ScienceOn
|
8 |
Ha, I. D. and Lee, Y. (2003). Estimating frailty models via Poisson hierarchical generalized linear models. Journal of Computational Graphical Statistics, 12, 663-681.
DOI
ScienceOn
|
9 |
Ha, I. D., Lee, Y and MacKenzie, G. (2007) Model selection for multi-component frailty models. Statistics in Medicine, 26, 4790-4807.
DOI
ScienceOn
|
10 |
Ha, I. D., Noh, M and Lee, Y. (2010). Bias reduction of likelihood estimators in semiparametric frailty models. Scandinavian Journal of Statistics, 37, 307-320.
DOI
ScienceOn
|
11 |
Hill, A. B. (1962). Statistical methods in clinical and preventive medicine, Edinburgh, Livingstone.
|
12 |
Kim, H. K., Noh, M. and Ha, I. D. (2011). A study using HGLM on regional difference of the dead due to injuries. Journal of the Korean Data & Information Science Society, 22, 137-148.
|
13 |
Gray, R. J. (1994). A Bayesian analysis of institutional effects in multicenter cancer clinical trial. Biometrics, 5, 244-253.
|
14 |
Ha, I. D. (2008a). A HGLM framework for meta-analysis of clinical trials with binary outcomes. Journal of the Korean Data & Information Science Society, 19, 1429-1440.
|
15 |
Booth, J. G. and Hobert, J. P. (1998). Standard errors of prediction in generalized linear mixed models. Journal of the American Statistical Association, 93, 262-272.
DOI
ScienceOn
|
16 |
Ha, I. D. (2008b). On estimation of random effect in Poisson HGLMs. Journal of the Korean Data & Information Science Society, 19, 375-383.
|
17 |
Ha, I. D. (2009). A correction of SE from penalized partial likelihood in frailty models. Journal of the Korean Data & Information Science Society, 20, 895-903.
|
18 |
Andersen, P. K., Klein, J. P. and Zhang M.-J. (1999). Testing for centre effects in multi-centre survival studies: A monte carlo comparison of fixed and random effects tests. Statistics in Medicine, 18, 1489-1500.
DOI
ScienceOn
|
19 |
Friedman, L. M., Furberg, C. D. and DeMets, D. L. (1998). Fundamentals of clinical trials, Springer, New York.
|
20 |
Breslow, N. E. (1972). Discussion of Professor Cox's paper. Journal of the Royal Statistical Society B, 34, 216-217.
|