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Modeling the Infant’s Age at Hospital Admission in Neonatal with Jaundice at the Ghaem Mashhad Hospital Using Count Models with Excess Zeros

Bazzazzadeh V, Doosti H, Boskabadi H, Saffari Se, Peyman N and Chesneau C
Additional contact information
Bazzazzadeh V: Department of Biostatistics, Mashhad University of Medical Sciences, Iran
Doosti H: Assistant Professor of Statistics, Mashhad university of Medical Sciences, Iran
Boskabadi H: Departement of Pediatrics, Mashhad University of Medical Sciences, Iran
Saffari Se: Centre for Quantitative Medicine, Office of Clinical Sciences, Duke-NUS Medical School, Singapore
Peyman N: Associate Professor of Health Education, Mashhad university of Medical Sciences, Iran
Chesneau C: Associate Professor of Statistics, Université de Caen Normandie, France

Biostatistics and Biometrics Open Access Journal, 2017, vol. 3, issue 4, 122-128

Abstract: Introduction: Count regression models with one mode at zero in the outcome variable are often seen in medical research. In this study, we aim to analyze infants’ age of hospital admission using count models and discuss potential problems when dealing with excess zeros.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:3:y:2017:i:4:p:122-128

DOI: 10.19080/BBOAJ.2017.03.555620

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