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Employing Logistic regression approach to determine impact of some variables on diabetes | ||
| Journal of College of Education | ||
| Article 1, Volume 0, Issue 1, 2017, Pages 235-248 | ||
| Author | ||
| Bushra Abdulrasool Ali | ||
| Abstract | ||
| Age, Sex, Uric Acid, Blood Urea, cholesterol, Serum Triglyceride, Smoking, Heredity and Alcohol are the nine variables that lead to get diabetes. logistic regression approach was employed using the statistical program SPSS to study the significant variables between them, the result’s reveled that cholesterol, Serum Triglyceride, Heredity and age are the four effected parameters on getting the disease. The study based on a 200 population obtained from the National Center for Diabetes Treatment in Iraq. The true classification percentage is 91.5% and the total error is 8.5%. | ||
| Keywords | ||
| Diabetes; Logistic regression; Logit model; Hosmer and Lemeshow test | ||
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