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Empirical Bayes estimation for additive hazards regression models
We develop a novel empirical Bayesian framework for the semiparametric additive hazards regression model. The integrated likelihood, obtained by integration over the unknown prior of the nonparametric baseline cumulative hazard, can be maximized using standard statistical software. Unlike the corres...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2009
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3412574/ https://ncbi.nlm.nih.gov/pubmed/23049116 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asp024 |
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