On Zero inflated models with applications to maternal healthcare utilization

  • Uduak E. Bassey Department of Mathematics, University of Lagos, Nigeria.
  • Mary I. Akinyemi Department of Mathematics, University of Lagos, Nigeria.
  • Kelechi F. Njoku Department of Mathematics, University of Lagos, Nigeria.
DOI: https://doi.org/10.52968/28309288
Keywords: Zero-inflated, Count data, Vuong test, Anderson’s behavioural model

Abstract

We consider the problem of modelling count data with excess zeros and over-dispersion which are commonly encountered in various disciplines that limit the use of traditional models for
count outcomes. Our research work applies the Zero-inflated Poisson and Negative Binomial models in modelling Maternal Health Care (MHC) utilization in Nigeria, employing the Andersen’s behavioural model to examine the effect of predisposing, enabling, and need factors on  MHC utilization. The performance of these models are compared to the traditional Poisson and negative binomial models. The Vuong test and AIC suggests that the Zero-inflated Negative Binomial model provided the most significant improvement over traditional models for count outcomes.

Published
2022-03-03
How to Cite
Bassey, U. E., Akinyemi, M. I., & Njoku, K. F. (2022). On Zero inflated models with applications to maternal healthcare utilization. International Journal of Mathematical Sciences and Optimization: Theory and Applications, 7(2), 65 - 75. https://doi.org/10.52968/28309288
Issue
Vol 7 No 2 (2021)
Section
Articles

Copyright (c) 2022 Uduak E. Bassey, Mary I. Akinyemi, Kelechi F. Njoku

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, adaptation, and reproduction in any medium, provided that the original work is properly cited.