Using the EM algorithm for Bayesian variable selection in logistic regression models with related covariates.

Koslovsky, M D; Swartz, M D; Leon-Novelo, L; Chan, W; Wilkinson, A V

Koslovsky, M D; Swartz, M D; Leon-Novelo, L; Chan, W; Wilkinson, A V.

Afiliação

Koslovsky MD; Department of Biostatistics, UTHealth, Houston, TX, USA.
Swartz MD; Department of Biostatistics, UTHealth, Houston, TX, USA.
Leon-Novelo L; Department of Biostatistics, UTHealth, Houston, TX, USA.
Chan W; Department of Biostatistics, UTHealth, Houston, TX, USA.
Wilkinson AV; Department of Epidemiology, UTHealth, Austin, TX, USA.

J Stat Comput Simul ; 88(3): 575-596, 2018.

Article em En | MEDLINE | ID: mdl-29731525

Palavras-chave

62F15; 62J12; 68U20; Bayesian inference; binary outcomes; deterministic annealing; expectation-maximization; grouped covariates; heredity constraint; inheritance property; variable selection

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo

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XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2018 Tipo de documento: Article