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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| 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 |