Logistic regression : a primer
Logistic regression analysis Logarithms
SAGE Publications, Inc.
2021
2nd ed.
EISBN 1071878727
Intro.
Half Title.
Series.
Title Page.
Copyright Page.
Contents.
Series Editor's Introduction.
Preface.
Acknowledgments.
About the Author.
Publisher Note.
Chapter 1 The Logic of Logistic Regression.
Chapter 2 Interpreting Logistic Regression Coefficients.
Chapter 3 Estimation and Model Fit.
Chapter 4 Probit Analysis.
Chapter 5 Ordinal and Multinomial Logistic Regression.
Appendix: Logarithms.
References.
Index.
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.
Half Title.
Series.
Title Page.
Copyright Page.
Contents.
Series Editor's Introduction.
Preface.
Acknowledgments.
About the Author.
Publisher Note.
Chapter 1 The Logic of Logistic Regression.
Chapter 2 Interpreting Logistic Regression Coefficients.
Chapter 3 Estimation and Model Fit.
Chapter 4 Probit Analysis.
Chapter 5 Ordinal and Multinomial Logistic Regression.
Appendix: Logarithms.
References.
Index.
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.
