A Bayesian latent class model for predicting gestational age in health administrative data.

Wang, Shuang; Puggioni, Gavino; Wen, Xuerong

Wang, Shuang; Puggioni, Gavino; Wen, Xuerong.

Afiliação

Wang S; Department of Computer Science and Statistics, University of Rhode Island, South Kingstown, Rhode Island, USA.
Puggioni G; Health Outcomes, Department of Pharmacy Practice, College of Pharmacy, University of Rhode Island, South Kingstown, Rhode Island, USA.
Wen X; Department of Computer Science and Statistics, University of Rhode Island, South Kingstown, Rhode Island, USA.

Pharm Stat ; 21(6): 1199-1218, 2022 11.

Article em En | MEDLINE | ID: mdl-35535938

Assuntos

Modelos Estatísticos; Nascimento Prematuro; Humanos; Recém-Nascido; Gravidez; Feminino; Idade Gestacional; Análise de Classes Latentes; Teorema de Bayes; Nascimento Prematuro/epidemiologia

Palavras-chave

Bayesian latent class model; administrative data; finite mixture model; gestational age at birth

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Newborn / Pregnancy Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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