The Logistic Regression Models and the Accuracy Measures in Analyzing Medical Data
Keywords:
Ordinary regression models, logistic regression models, the R-squared measure, the Wilks’ Lambda measure.Abstract
There are many statistical models for analyzing categorical outcome variable such as the classification models, the discriminant models, and the logistic regression models. This research introduces a comparison study between these regression models to analyze medical data on the basis of several measures of predictive accuracy to set proper choice between them. A reviewed of such models and the assumptions of each model will introduce in the research. Many evaluation and accuracy measures for evaluating models are presented. Two applications in the medical field are introduced using two different real data sets to make the comparisons between models. The analysis of the results and conclusions are concluded in the research.
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