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What is Logistic Regression Model

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics
A statistical method for analyzing dataset with categorical outcome variable.
Published in Chapter:
Influence of Some Sociodemographic Factors on Causes of Death Among South African Youth
Boipelo Vinolia Mogale (North-West University, South Africa), Johannes Tshepiso Tsoku (North-West University, South Africa), Elias Munapo (North-West University, South Africa), and Olusegun Sunday Ewemooje (Federal University of Technology, Akure, Nigeria)
DOI: 10.4018/978-1-7998-3053-5.ch022
Abstract
Youth mortality is a challenge in South Africa, where on a daily basis a number of deaths are reported and are related to youth. This study used the 2014 Statistics South Africa data to examine the influence of sociodemographic factors on causes of death among South African youth aged 15-34 years, using a logistic regression model. The results showed that there is a significant relationship between education and causes of death as well as other sociodemographic factors and that the youth mortality will likely reduce if more youth have higher levels of education. The results of this study could be used to improve national prevention campaigns to reduce death among young South Africans, especially adolescents.
Full Text Chapter Download: US $37.50 Add to Cart
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Regression-Based Methods of Phase-I Monitoring Surgical Performance Using Risk-Adjusted Charts: An Overview
A regression model where the dependent variable is categorical and can take only two values, “0” and “1” (the case of a binary dependent variable).
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