Modeling Strategies In Logistic Regression With SAS, SPSS, Systat, BMDP,Minitab, And STATA
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Jan 5, 2002
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Chao-Ying Joanne Peng
School of Education, Indiana University
Tak-Shing Harry So
School of Education, Indiana University
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.
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