Bayesian treatment comparison using parametric mixture priors computed from elicited histograms

A Bayesian methodology is proposed for constructing a parametric prior on two treatment effect parameters, based on graphical information elicited from a group of expert physicians. The motivating application is a 70-patient randomized trial to compare two treatments for idiopathic nephrotic syndrom...

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Detalles Bibliográficos
Autores principales: Thall, Peter F, Ursino, Moreno, Baudouin, Véronique, Alberti, Corinne, Zohar, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658278/
https://www.ncbi.nlm.nih.gov/pubmed/28870123
http://dx.doi.org/10.1177/0962280217726803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658278/
https://www.ncbi.nlm.nih.gov/pubmed/28870123
http://dx.doi.org/10.1177/0962280217726803

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