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SAGE Logistic Regression - A Primer (Pampel)

 
 Author(s)  Fred C. Pampel
 Title  Logistic Regression: A Primer
 Edition  
 Year  2000
 Publisher  Sage Publications, Inc.
 ISBN  0-7619-2010-2
 Website  www.sagepub.com
 




Table of Contents

Series Editor's Introduction

Preface

1.  The Logic of Logistic Regression
  • Regression with a Dummy Dependent Variable
  • Transforming Probabilities into Logits
  • Linearizing the Nonlinear
  • Summary

2.  Interpreting Logistic Regression Coefficients
  • Logged Odds
  • Odds
  • Probabilities
  • Tests of Significance
  • Standardized Coefficients
  • An Example
  • Summary

3.  Estimation and Model Fit
  • Maximum Likelihood Estimation
  • Log Likelihood Function
  • Estimation
  • Tests of Significance Using Log Likelihood Values
  • Model Evaluation
  • An Example
  • Summary

4.  Probit Analysis
  • Another Way to Linearize the Nonlinear
  • Probit Analysis
  • Interpreting the Coefficients
  • Maximum Likelihood Estimation
  • An Example
  • Summary

5.  Conclusion


Notes

Appendix: Logarithms
  • The Logic of Logarithms
  • Properties of Logarithms
  • Natural Logarithms
  • Summary

References

About the Author

Acknowledgments





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