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

Ahmed Nabil Shaaban1,2, Bárbara Peleteiro3,4, Maria Rosario O Martins5

  • 1Department of Global Health and Tropical Medicine, Institute of Hygiene and Tropical Medicine, NOVA University of Lisbon, Rua da Junqueira N°100, 1349-008, Lisbon, Portugal. anshaaban@brandeis.edu.

BMC Health Services Research
|April 22, 2021
PubMed
Abstract

Keywords:
Count data analysisHIVHospital performanceLength of stay (LOS)Multilevel model#Quality indicatorRandom - effects model

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