GENERALIZED POISSON REGRESSION MODEL ON INFANT MORTALITY RATE IN SOUTHEAST SULAWESI

Authors

  • Nanang Setia
  • Mukhsar
  • Irma Yahya
  • Ruslan
  • Baharuddin
  • Dian Christien Arisona

Keywords:

Infant Mortality, Generalized Poisson Regression, Overdispersion, Discrete, Poisson Distribution

Abstract

The infant mortality rateis an indikator of a country’s health status and reflects on life
expectancy, welfare and quality of life of a community. Infant mortality rateofSoutheast
Sulawesi in 2020 experienced a drastic increase to reach extremly high, namely 503 cases. To
address this problem, we propose Generalized Poisson Regression since the dataset is discrete
and to have overdispersion. The results of the analysis in this study indicate that the variables
that influence Infant Mortality in Southeast Sulawesi are the number of low birth weight and the
number of toddlers with asphyxia.

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Published

2023-07-30

Issue

Vol. 1 No. 1 (2023): Juli

Section

Articles