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Bayesian Design of Non-Inferiority Clinical Trials via the Bayes Factor.
Li, Wenqing; Chen, Ming-Hui; Wangy, Xiaojing; Dey, Dipak K.
Afiliación
  • Li W; Ventana Medical Systems, Inc., 1910 East Innovation Park Drive, Tucson, AZ 85755, USA.
  • Chen MH; Department of Statistics, University of Connecticut, 215 Glenbrook Road, U-4120, Storrs, Connecticut 06269, USA.
  • Wangy X; Department of Statistics, University of Connecticut, 215 Glenbrook Road, U-4120, Storrs, Connecticut 06269, USA.
  • Dey DK; Department of Statistics, University of Connecticut, 215 Glenbrook Road, U-4120, Storrs, Connecticut 06269, USA.
Stat Biosci ; 10(2): 439-459, 2018 Aug.
Article en En | MEDLINE | ID: mdl-30344778
We developed a Bayes factor based approach for the design of non-inferiority clinical trials with a focus on controlling type I error and power. Historical data are incorporated in the Bayesian design via the power prior discussed in Ibrahim and Chen (2000). The properties of the proposed method are examined in detail. An efficient simulation-based computational algorithm is developed to calculate the Bayes factor, type I error and power. The proposed methodology is applied to the design of a non-inferiority medical device clinical trial.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Revista: Stat Biosci Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Revista: Stat Biosci Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos