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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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Bazzazzadeh V & Doosti H & Boskabadi H & Saffari SE & Peyman N & Chesneau C, 2017. "Modeling the Infant’s Age at Hospital Admission in Neonatal with Jaundice at the Ghaem Mashhad Hospital Using Count Models with Excess Zeros," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 3(4), pages 122-128, October.
    • Handle: RePEc:adp:jbboaj:v:3:y:2017:i:4:p:122-128
    DOI: 10.19080/BBOAJ.2017.03.555620
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    References listed on IDEAS

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    1. Seyed Ehsan Saffari & Robiah Adnan & William Greene, 2013. "Investigating the impact of excess zeros on hurdle-generalized Poisson regression model with right censored count data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(1), pages 67-80, February.
    2. William H. Greene, 1994. "Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models," Working Papers 94-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    3. Zeileis, Achim & Kleiber, Christian & Jackman, Simon, 2008. "Regression Models for Count Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i08).
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    Cited by:

    1. Atanu B & Gajendra V & Jesna J & Ramesh V, 2017. "Multiple Imputations for Determining an Optimum Biological Dose of a Metronomic Chemotherapy," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 3(5), pages 129-140, October.

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