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

INTRODUCTION: The length of hospital stay (LOHS) caused by COVID-19 has imposed a financial burden, and cost on the healthcare service system and a high psychological burden on patients and health workers. The purpose of this study is to adopt the Bayesian model averaging (BMA) based on linear regre...

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Detalles Bibliográficos
Autores principales: Bahrami, Shabnam, Hajian-Tilaki, Karimollah, Bayani, Masomeh, Chehrazi, Mohammad, Mohamadi-Pirouz, Zahra, Amoozadeh, Abazar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326965/
https://www.ncbi.nlm.nih.gov/pubmed/37415112
http://dx.doi.org/10.1186/s12874-023-01981-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326965/
https://www.ncbi.nlm.nih.gov/pubmed/37415112
http://dx.doi.org/10.1186/s12874-023-01981-x

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