The utility of Bayesian predictive probabilities for interim monitoring of clinical trials.

Saville, Benjamin R; Connor, Jason T; Ayers, Gregory D; Alvarez, JoAnn

Saville, Benjamin R; Connor, Jason T; Ayers, Gregory D; Alvarez, JoAnn.

Afiliação

Saville BR; Department of Biostatistics, School of Medicine, Vanderbilt University, Nashville, TN, USA b.saville@vanderbilt.edu.
Connor JT; Berry Consultants, Austin, TX, USA College of Medicine, University of Central Florida, Orlando, FL, USA.
Ayers GD; Department of Biostatistics, School of Medicine, Vanderbilt University, Nashville, TN, USA.
Alvarez J; Department of Biostatistics, School of Medicine, Vanderbilt University, Nashville, TN, USA.

Clin Trials ; 11(4): 485-493, 2014 Aug.

Article em En | MEDLINE | ID: mdl-24872363

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2014 Tipo de documento: Article

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