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

Ahmed Nabil ShaabanBárbara PeleteiroMaria Rosario O Martins

Published in: BMC health services research (2021)

This study provides a comprehensive approach to address unique problems associated with the prediction of length of stay among HIV patients in Portugal.

Keyphrases

end stage renal disease
ejection fraction
chronic kidney disease
newly diagnosed
antiretroviral therapy
hepatitis c virus
peritoneal dialysis
prognostic factors
hiv testing
mental health
men who have sex with men
machine learning
south africa
artificial intelligence
data analysis