Journal of the Korean Data and Information Science Society
- Volume 15 Issue 2
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- Pages.367-378
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- 2004
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- 1598-9402(pISSN)
Comparative Study on Statistical Packages for Analyzing Logistic Regression - MINITAB, SAS, SPSS, STATA -
- Kim, Soon-Kwi (Department of Information Statistics, Kangnung National University) ;
- Jeong, Dong-Bin (Department of Information Statistics, Kangnung National University) ;
- Park, Young-Sool (Division of Business Administration, Kwandong University)
- Published : 2004.05.31
Abstract
Recently logistic regression is popular in a variety of fields so that a number of statistical packages are developed for analyzing the logistic regression. This paper briefly considers the several types of logistic regression models used depending on different types of data. In addition, when four statistical packages (MINTAB, SAS, SPSS and STATA) are used to apply logistic regression models to the real fields respectively, their scope and characteristics are investigated.
Keywords
- Covariate pattern;
- Logistic regression model;
- Method of maximum likelihood;
- Proportional odds model;
- ROC curve