Bayesian set of best dynamic treatment regimes: Construction and sample size calculation for SMARTs with binary outcomes.

Artman, William J; Johnson, Brent A; Lynch, Kevin G; McKay, James R; Ertefaie, Ashkan

Bayesian set of best dynamic treatment regimes: Construction and sample size calculation for SMARTs with binary outcomes.

Artman, William J; Johnson, Brent A; Lynch, Kevin G; McKay, James R; Ertefaie, Ashkan.

Afiliación

Artman WJ; Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.
Johnson BA; Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.
Lynch KG; Center for Clinical Epidemiology and Biostatistics (CCEB) and Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
McKay JR; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ertefaie A; Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.

Stat Med ; 41(9): 1688-1708, 2022 04 30.

Article en En | MEDLINE | ID: mdl-35124836

Asunto(s)

Proyectos de Investigación; Teorema de Bayes; Simulación por Computador; Humanos; Tamaño de la Muestra

Palabras clave

binary outcome; dynamic treatment regimes; multiple comparisons with the best; power analysis; sequential multiple assignment randomized trials

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Stat Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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