A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects

BACKGROUND: Multivariate analysis of interval censored event data based on classical likelihood methods is notoriously cumbersome. Likelihood inference for models which additionally include random effects are not available at all. Developed algorithms bear problems for practical users like: matrix i...

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Detalles Bibliográficos
Autores principales: Henschel, Volkmar, Engel, Jutta, Hölzel, Dieter, Mansmann, Ulrich
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2679769/
https://www.ncbi.nlm.nih.gov/pubmed/19208234
http://dx.doi.org/10.1186/1471-2288-9-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2679769/
https://www.ncbi.nlm.nih.gov/pubmed/19208234
http://dx.doi.org/10.1186/1471-2288-9-9

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