Bayesian information criterion approximations to Bayes factors for univariate and multivariate logistic regression models.

Selig, Katharina; Shaw, Pamela; Ankerst, Donna

Selig, Katharina; Shaw, Pamela; Ankerst, Donna.

Afiliación

Selig K; Department of Mathematics, Technical University of Munich, Munchen, Germany.
Shaw P; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Ankerst D; Department of Mathematics, Technical University of Munich, Munchen, Germany.

Int J Biostat ; 17(2): 241-266, 2020 10 29.

Article en En | MEDLINE | ID: mdl-33119543

Asunto(s)

Teorema de Bayes; Modelos Lineales; Modelos Logísticos

Palabras clave

Bayes factor; Bayesian information criterion; logistic regression; multivariate logistic regression

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Teorema de Bayes Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Biostat Año: 2020 Tipo del documento: Article País de afiliación: Alemania

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