Identification of the minimum effective dose for normally distributed data using a Bayesian variable selection approach.

Otava, Martin; Shkedy, Ziv; Hothorn, Ludwig A; Talloen, Willem; Gerhard, Daniel; Kasim, Adetayo

Otava, Martin; Shkedy, Ziv; Hothorn, Ludwig A; Talloen, Willem; Gerhard, Daniel; Kasim, Adetayo.

Afiliação

Otava M; a Interuniversity Institute for Biostatistics and Statistical Bioinformatics , Hasselt University , Hasselt , Belgium.
Shkedy Z; a Interuniversity Institute for Biostatistics and Statistical Bioinformatics , Hasselt University , Hasselt , Belgium.
Hothorn LA; b Institute of Biostatistics , Leibniz University Hannover, Hannover, Germany.
Talloen W; c Janssen, Pharmaceutical companies of Johnson & Johnson , Beerse , Belgium.
Gerhard D; d School of Mathematics and Statistics , University of Canterbury , Christchurch , New Zealand.
Kasim A; e Wolfson Research Institute for Health and Wellbeing , Durham University, Queen's Campus, University Boulevard , Stockton-on-Tees , United Kingdom.

J Biopharm Stat ; 27(6): 1073-1088, 2017.

Article em En | MEDLINE | ID: mdl-28328286

Assuntos

Teorema de Bayes; Interpretação Estatística de Dados; Incerteza; Relação Dose-Resposta a Droga; Humanos; Distribuição Normal

Palavras-chave

Bayesian variable selection; minimum effective dose; model selection; model uncertainty; order restricted models

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação Estatística de Dados / Teorema de Bayes / Incerteza Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: J Biopharm Stat Assunto da revista: FARMACOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Bélgica

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