Statistical models for analyzing count data: predictors of length of stay among HIV patients in Portugal using a multilevel model

Statistical models for analyzing count data: predictors of length of stay among HIV patients in Portugal using a multilevel model

Abstract Background This study offers a comprehensive approach to precisely analyze the complexly distributed length of stay among HIV admissions in Portugal. Objective To provide an illustration of statistical techniques for analysing count data using longitudinal predictors of length of stay among...

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Bibliographic Details
Main Authors: Ahmed Nabil Shaaban, Bárbara Peleteiro, Maria Rosario O. Martins
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Health Services Research
Subjects:
Length of stay (LOS)
Count data analysis
HIV
Hospital performance
Quality indicator
Random - effects model
Online Access:https://doi.org/10.1186/s12913-021-06389-1

Internet

https://doi.org/10.1186/s12913-021-06389-1

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