Health Insurance Claim Count data with many zeros

Published: 18-03-2021| Version 1 | DOI: 10.17632/6hcf5mf7fy.1
Contributor:
Olumide Adesina

Description

The Data set is National Health Insurance Scheme (NHIS) data with excess zero count. The data were obtained from health Ogun State health facility, Ota, Ogun State. Claims made by 116 users of National Health Insurance Scheme (NHIS) user's from September 2016 to July 2017. Response variable is Number of Encounter, while predictors are Sex, Age of patients, number of drugs prescribed (DrugAdm), and Number of drugs out of stock (DrugOS). The data is over-dispersed with dispersion parameter of 1.4980 since the dispersion parameter is greater than 1. Model such as Bayesian and frequentist techniques can be used to model the data. Such work can be found in the study by Adesina et. al (2017), Adesina et. al (2018), Adesina et al (2019), Dare et al (2019), Adesina et. al (2021).

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