Analyzing Overdispersed Skilled Antenatal Care Visits of Pregnant Women in Bangladesh Using Generalized Poisson Regression Model

Authors

  • Md Muddasir Hossain Akib Department of Statistics, University of Dhaka, Dhaka-1000, Bangladesh
  • Bikash Pal Department of Statistics, University of Dhaka, Dhaka-1000, Bangladesh

DOI:

https://doi.org/10.3329/dujs.v71i1.65275

Keywords:

Skilled ANC visits; Overdispersion; Generalized Poisson regression

Abstract

It is common to use the Poisson regression model (PRM) for analyzing the count data. The major limitation of this PRM is that the mean and variance of the response variable need to be equal. However, in the actual dataset, the response variable’s variance may exceed the mean, introducing overdispersion in the dataset. In this paper, the generalized Poisson regression model (GPRM) has been used in the modeling and analysis of the skilled antenatal care (ANC) count data extracted from the Bangladesh Demographic and Health Survey (BDHS) 2017-18. The findings of this study have revealed several socioeconomic and demographic variables that significantly impact the skilled ANC visits.

Dhaka Univ. J. Sci. 71(1): 69-75, 2023 (Jan)

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Published

2023-05-29

How to Cite

Hossain Akib, M. M. ., & Pal, B. (2023). Analyzing Overdispersed Skilled Antenatal Care Visits of Pregnant Women in Bangladesh Using Generalized Poisson Regression Model. Dhaka University Journal of Science, 71(1), 69–75. https://doi.org/10.3329/dujs.v71i1.65275

Issue

Vol. 71 No. 1 (2023)

Section

Articles