Preface. Introduction. Concepts Related to the Logistic Model. Estimation Methods. Derivation of the Binary Logistic Algorithm. Model Development. Interactions. Analysis of Model Fit. Binomial Logistic Regression. Overdispersion. Ordered Logistic Regression. Multinomial Logistic Regression. Alternative Categorical Response Models. Panel Models. Other Types of Logistic-Based Models. Exact Logistic Regression. Conclusion. Appendices. References. Indices.

About the Author

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA and Arizona State University, Tempe, AZ

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Overall this is a comprehensive book, which will provide a very useful resource and handbook for anyone whose work involves modelling binary data. --David J. Hand, International Statistical Review (2011), 79

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Table of Contents

About the Author

Reviews