A Comparison Study between Regression Models for Analyzing Anemia Diseases

Taghreed Al-Said, Sanaa Al-Marzouki, Mona Adham


Regression models are the suitable statistical techniques for drawing inferences about relationships among interrelated variables. These models are applicable in many ­fields, such as the social field, physical field, biological sciences, business and medical fields. Regression models are perhaps the most used of all data analysis methods. This research interests in comparing regression models and applying these models in analyzing two real data sets of anemia diseases.  Also, many evaluating methods are applied in the research to choose between models, determining variables that effective the anemia diseases.  The analysis of the results detects the best variables, the suitable model and the best criterion can be used with the medical data. 


logistic regression models; anemia diseases; Iterative weighted least square methods; r-squared measure; Hosmer-Lemeshow test.

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