Hammad, Laith Adnan (2026) Comparative Analysis of Contingency Models in Medical Data using Log-linear Models and Logistic Regression Models. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 7 (4). ISSN 2660-5309

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Abstract

This research explored the use of linear logistic studies and binary and multi-logarithmic reference models in analyzing n×m Tables Contingency for the development of relationships between genders. It also examined how each model interprets the relationships between these correlations. This research has applications in the medical field, where the effects of age and gender on weight were studied, and their impact on weight prediction was investigated. Logarithmic models identified weight gain in any age group, while logistic models developed a predictive equation for the effect of age and gender on weight. Each model has its own characteristics logarithmic models focus on studying the relationship between variables, while logistic models construct a predictive equation to interpret the results.

Item Type:	Article
Uncontrolled Keywords:	Tables Contingency, Log Model, Logistic Model, Weight
Subjects:	H Social Sciences
Depositing User:	admin eprints
Date Deposited:	08 Aug 2026 15:45
Last Modified:	08 Aug 2026 15:45
URI:	http://eprints.umsida.ac.id/id/eprint/16915

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