Article Sidebar
Published:
Nov 13, 2023Keywords:
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
(i) AJER is an open-access journal. This means that all content is freely available to all. The author retains the copyrights associated with their work within AJER’s policy framework.
(ii) All articles can be accessed freely without any limitations of use, distribution, and reproduction in any medium so long as they are expressly cited.
(iii) The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, may not mean that these names are not protected by the relevant laws and regulations in their respective countries.
(iv) The publisher believes that all information is true and accurate at the time of going to press. In this regard, the authors, editors, and publishers cannot accept any legal responsibility for any errors, typos or omissions that may be made. There is thus no warranty for the materials contained in the articles.
Main Article Content
Comparison of the Performance of Logistic Regression Model in the Presence and Absence of Mediation
Ruth Naomi Wanga
David Anekeya Alilah
Everlyne Akoth Odero
Abstract
Over the last decade major global efforts mounted to address the HIV epidemic has realized notable successes in combating the pandemic. Sub Saharan Africa (SSA) still remains a global epicenter of the disease, accounting for more than 70% of the global burden of infections. Despite wide spread use of various intervention strategies that act as mediation factors in Human Immunodeficiency Virus (HIV) prevention, HIV prevalence still remains a challenge especially in some geographic areas and populations. Therefore, how mediation factors interact with the prevailing HIV risk factors to cause an impact on its prevalence remains a question not answered. This study considered Exposure to HIV related media as a mediator variable in the relationship between HIV risk factors and HIV prevalence. Two logistic regression models, one in presence of mediation and another in absence of mediation were formulated and compared to establish the best performing model. Models were fitted to real data from the Kenya Population-based HIV Impact Assessment survey-2018 and model parameters were estimated using Maximum Likelihood Estimation in R. Results based on both Akaike’s Information Criterion and the McFadden’s R2 value revealed that the model formulated in presence of mediation performed better compared to that without mediation.
