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Diabetic Risks Assessed Via Logistic Regression

Ramalingam Shanmugam, Jie Li


This article demonstrates salient features (including the concepts and benefits) of using logistic regression via a case study. The results are educational to learning the prevalence of health hazards to become diabetic under a disrupted eco system like in Texas. Discussions of the logistic regression results in a tutorial style are considered for the sake of applied ecologic scientists who wish to analyze and model their data.

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