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Logistic Regression
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Logistic Regression
A Primer

Second Edition


December 2020 | 180 pages | SAGE Publications, Inc

This volume helps readers understand the intuitive logic behind logistic regression through nontechnical language and simple examples. The Second Edition presents results from several statistical packages to help interpret the meaning of logistic regression coefficients, presents more detail on variations in logistic regression for multicategory outcomes, and describes some potential problems in interpreting logistic regression coefficients. A companion website includes the three data sets and Stata, SPSS, and R commands needed to reproduce all the tables and figures in the book. Finally, the Appendix reviews the meaning of logarithms, and helps readers understand the use of logarithms in logistic regression as well as in other types of models.

 
Series Editor’s Introduction
 
Preface
 
1. The Logic of Logistic Regression
 
2. Interpreting Logistic Regression Coefficients
 
3. Estimation and Model Fit
 
4. Probit Analysis
 
5. Ordinal and Multinomial Logistic Regression
 
Notes
 
Appendix: Logarithms
 
References
 
About the Author
 
Acknowledgments

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