文章基本信息

标题：Modeling Strategies In Logistic Regression With SAS, SPSS, Systat, BMDP, Minitab, And STATA
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作者：Peng, Chao-Ying Joanne ; So, Tak-Shing Harry
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2002
卷号：1
期号：1
页码：21
出版社：Wayne State University
摘要：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.
关键词：Logistic regression; Analysis issues; Statistical packages; Binary outcome; Categorical variables; Statistical computing