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Binary Logistic Regression Model Application: Identification of Factors Associated to MTCT of HIV in Rwanda
Journal: International Journal of Scientific Engineering and Technology (IJSET) (Vol.6, No. 2)Publication Date: 2017-02-01
Authors : Cassien Habyarimana; Alexandre Lyambabaje;
Page : 99-104
Keywords : Binary Logistic Regression; HIV Infection; Prevalence; Odd Ratio.;
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Abstract
In this paper, we estimated the HIV infection prevalence and identified the factors associated to HIV free survivals. We have found that the mother's current HIV status and the mother's age are predictor variables which have a significant impact on HIV infection; they are factors significantly associated to MTCT of HIV in Rwanda
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Last modified: 2017-02-02 21:30:39