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Bayesian inference for longitudinal data with non-parametric treatment effects
We consider inference for longitudinal data based on mixed-effects models with a non-parametric Bayesian prior on the treatment effect. The proposed non-parametric Bayesian prior is a random partition model with a regression on patient-specific covariates. The main feature and motivation for the pro...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3944972/ https://ncbi.nlm.nih.gov/pubmed/24285773 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxt049 |
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