Abstract
This paper addresses modeling strategies in logistic regression within the context of a real-world data set. Six commercially available statistical packages were evaluated in how they addressed modeling issues and in the accuracy of their regression results. Recommendations are offered for data analysts in terms of each package's strengths and weaknesses.
DOI
10.22237/jmasm/1020255720
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
