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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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Detalles Bibliográficos
Main Authors: Müller, Peter, Quintana, Fernando A., Rosner, Gary L., Maitland, Michael L.
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2014
Assuntos:
Acceso en liña: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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