SAGE Logistic Regression - A Primer (Pampel)

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