On the Performance of Several Approaches to Obtain Standardized Logistic Regression Coefficients

  • Anwar Fitrianto
  • Imam Hanafi
Conference paper


In general regression analysis, standardized beta weights are often used to compare strength of prediction across variables. In order to consider obtaining an estimation of standardized logistic regression coefficients, the model must be rescaled to include such coefficients. One of the reasons to have the coefficient standardized is we will have more informative coefficients compared to unstandardized coefficients, especially for variables which have no natural metric. Several approaches of obtaining standardized coefficients in logistic regression are available in literatures. This article studies the performance of the existing approaches to obtain standardized logistic regression coefficient based on real data.



The authors are grateful to University Grants Scheme by Universiti Putra Malaysia for awarding a research grant for supporting the research.


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Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  1. 1.Department of Mathematics, Faculty of ScienceUniversity Putra MalaysiaSerdangMalaysia
  2. 2.Institute for Mathematical ResearchUniversity Putra MalaysiaSerdangMalaysia
  3. 3.Department of Statistics, Faculty of Mathematics and Natural SciencesBogor Agricultural UniversityBogorIndonesia
  4. 4.Faculty of Administrative SciencesUniversity of BrawijayaMalangIndonesia

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