The use of simple reparameterizations to improve the efficiency of Markov chain Monte Carlo estimation for multilevel models with applications to discrete time survival models

We consider the application of Markov chain Monte Carlo (MCMC) estimation methods to random-effects models and in particular the family of discrete time survival models. Survival models can be used in many situations in the medical and social sciences and we illustrate their use through two examples...

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Detalles Bibliográficos
Autores principales: Browne, William J, Steele, Fiona, Golalizadeh, Mousa, Green, Martin J
Formato: Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2009
Materias:
‘Recent advances in multilevel modelling methodology and applications’
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2718325/
https://www.ncbi.nlm.nih.gov/pubmed/19649268
http://dx.doi.org/10.1111/j.1467-985X.2009.00586.x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2718325/
https://www.ncbi.nlm.nih.gov/pubmed/19649268
http://dx.doi.org/10.1111/j.1467-985X.2009.00586.x

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