A Bivariate Probit Model for Correlated Binary Data with Application to HIV and Male Circumcision
American Journal of Theoretical and Applied Statistics
Volume 4, Issue 6, November 2015, Pages: 555-561
Received: Oct. 29, 2015;
Accepted: Nov. 9, 2015;
Published: Nov. 19, 2015
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Tabitha Wambui Njoroge, Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Samuel Musili Mwalili, Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Anthony Kibira Wanjoya, Department of Statistics and Actuarial Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
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As the HIV/AIDS epidemic continues to grow, it continues to be a huge threat to the social and economic well-being of a society. Studies show that the epidemic has significantly affected the development of Kenya. Numerous interventions by different bodies (e.g. the national government, international donors, civil society organizations) to prevent its spread continue to be put in place. Male Circumcision has been proven to reduce the risk of HIV transmission. A statistical model that shows the relationship between male circumcision and HIV prevalence is therefore of great importance as it can be used to bring out the inverse relationship between the two response variables and hence support male circumcision as an effective intervention for prevention of HIV spread. We use Bivariate Probit regression to model the correlation between Male Circumcision and HIV prevalence while looking into factors affecting both HIV and Male Circumcision.
Bivariate Probit Model, Human Immunodeficiency Virus (HIV), Male Circumcision (MC), Correlation
To cite this article
Tabitha Wambui Njoroge,
Samuel Musili Mwalili,
Anthony Kibira Wanjoya,
A Bivariate Probit Model for Correlated Binary Data with Application to HIV and Male Circumcision, American Journal of Theoretical and Applied Statistics.
Vol. 4, No. 6,
2015, pp. 555-561.
Copyright © 2015 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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