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     Research Journal of Mathematics and Statistics


Catalogistico Discriminant Analysis: A Methodology for Analyzing Catastrophic Spending on Health in Statistically Under-developed Countries

Felix O. Mettle, Abeku A. Asare-Kumi, Isaac K. Baidoo and Ezekiel N.N. Nortey
Department of Statistics, University of Ghana, P.O. Box LG 115, Legon
Research Journal of Mathematics and Statistics  2014  2:16-22
http://dx.doi.org/10.19026/rjms.6.5808  |  © The Author(s) 2014
Received: December 04, 2013  |  Accepted: December 26, 2013  |  Published: May 25, 2014

Abstract

This study proposes a methodology for analysis of catastrophic spending on health in statistically under-developed countries. A binary logistic regression model, based on data from households with reported non-zero expenditure on health, is proposed for the estimation of the likelihood of spending on health for all households irrespective of whether they spent on health or not within the reference period for the survey.

Keywords:

Binary logistic regression, catastrophic health expenditure, discriminant analysis, survey reference period,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7505
ISSN (Print):   2042-2024
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