Bayesian model averaging for predicting factors associated with length of COVID-19 hospitalization.

Bahrami, Shabnam; Hajian-Tilaki, Karimollah; Bayani, Masomeh; Chehrazi, Mohammad; Mohamadi-Pirouz, Zahra; Amoozadeh, Abazar

Bahrami, Shabnam; Hajian-Tilaki, Karimollah; Bayani, Masomeh; Chehrazi, Mohammad; Mohamadi-Pirouz, Zahra; Amoozadeh, Abazar.

Afiliação

Bahrami S; Student Research Center, Research Institute, Babol University of Medical Sciences, Babol, Iran.
Hajian-Tilaki K; Department of Biostatistics and Epidemiology, School of Public Health, Babol University of Medical Sciences, Babol, Iran. drhajian@yahoo.com.
Bayani M; Social Determinants of Health Research Center, Research Institute, Babol University of Medical Sciences, Babol, Iran. drhajian@yahoo.com.
Chehrazi M; Department of Infectious Diseases, Ayatollah Rohani Hospital, Babol University of Medical Sciences, Babol, Iran.
Mohamadi-Pirouz Z; Department of Biostatistics and Epidemiology, School of Public Health, Babol University of Medical Sciences, Babol, Iran.
Amoozadeh A; Neonatal Research Unit, Imperial College London, Exhibition Rd, South Kensington, London, SW7 2BX, UK.

BMC Med Res Methodol ; 23(1): 163, 2023 07 06.

Article em En | MEDLINE | ID: mdl-37415112

Assuntos

COVID-19; Humanos; Estudos de Coortes; Teorema de Bayes; Hospitalização; Tempo de Internação; Convulsões

Palavras-chave

AIC; BIC; Bayesian model averaging; COVID-19; GBDT; Length of hospital stay; Markov Chain Monte Carlo (MCMC); Occam's Window; Stepwise

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article