A Bayesian hierarchical sparse factor model for estimating simultaneous covariance matrices for gestational outcomes in consecutive pregnancies.

Kundu, Debamita; Mitra, Ritendranath; Albert, Paul S; Gaskins, Jeremy T

Kundu, Debamita; Mitra, Ritendranath; Albert, Paul S; Gaskins, Jeremy T.

Afiliação

Kundu D; Division of Biostatistics, University of Virginia, Charlottesville, Virginia, USA.
Mitra R; Department of Bioinformatics & Biostatistics, University of Louisville, Louisville, Kentucky, USA.
Albert PS; Biostatistics Branch, National Cancer Institute, Bethesda, Maryland, USA.
Gaskins JT; Department of Bioinformatics & Biostatistics, University of Louisville, Louisville, Kentucky, USA.

Stat Med ; 42(19): 3353-3370, 2023 08 30.

Article em En | MEDLINE | ID: mdl-37276864

Assuntos

Teorema de Bayes; Humanos; Feminino; Gravidez; Simulação por Computador; Cadeias de Markov; Método de Monte Carlo

Palavras-chave

covariance estimation; factor model; multiple group; sparsity

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Teorema de Bayes Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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