Marginal Regression Models for Mixed Bivariate Responses

Authors

  • Chijioke Joel Nweke Department of Mathematics and Statistics, Alex Ekwueme Federal University, Ndufu-Alike 48213, Nigeria
  • Kelechi Charity Ojide Department of Mathematics and Statistics, Alex Ekwueme Federal University, Ndufu-Alike 48213, Nigeria
  • George Chinanu Mbaeyi Department of Mathematics and Statistics, Alex Ekwueme Federal University, Ndufu-Alike 48213, Nigeria
  • Fidelis Ifeanyi Ugwuowo Department of Statistics, University of Nigeria, Nsukka 410001, Nigeria

Keywords:

Marginal Model, Generalized Estimating Equation, Mixed responses, Poisson, Bernoulli, Normal

Abstract

A new framework for marginal regression model with bivariate responses from different distributions was proposed in this study. It adopts a Generalized Estimating Equation (GEE) approach of model estimation. A framework for mixture of response variables from different distributions was proposed for “Normal and Poisson”, “Normal and Bernoulli”, and “Poisson and Bernoulli”. Application on the proposal framework was examined in measuring the effect of certain hospital inputs on hospital performance in three selected tertiary health institutions.

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Published

2023-12-27

How to Cite

Nweke, C., Ojide, K. ., Mbaeyi, G., & Ugwuowo, F. (2023). Marginal Regression Models for Mixed Bivariate Responses . Science & Technology Asia, 28(4), 20–25. Retrieved from https://ph02.tci-thaijo.org/index.php/SciTechAsia/article/view/249413

Issue

Vol.28 No.4 (October-December 2023)

Section

Physical sciences

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