Logistic Regression Models

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CRC Press, May 11, 2009 - Mathematics - 656 pages
Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models t
 

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Contents

Chapter 1 Introduction
1
Chapter 2 Concepts Related to the Logistic Model
15
Chapter 3 Estimation Methods
51
Chapter 4 Derivation of the Binary Logistic Algorithm
63
Chapter 5 Model Development
73
Chapter 6 Inteactions
189
Chapter 7 Analysis of Model Fit
243
Chapter 8 Binomial Logistic Regression
297
Conclusion
559
Brief Guide to Using Stata Commands
561
Stata and R Logistic Models
589
Greek Letters and Major Functions
591
Stata Binary Logistic Command
593
Derivation of the Beta Binomial
597
Likelihood Function of the Adaptive GaussHermite Quadrature Method of Estimation
599
Data Sets
601

Chapter 9 Overdispersion
319
Chapter 10 Ordered Logistic Regression
353
Chapter 11 Multinomial Logistic Regression
385
Chapter 12 Alternative Categorical Response Models
411
Chapter 13 Panel Models
441
Chapter 14 Other Types of LogisticBased Models
519
Chapter 15 Exact Logistic Regression
543
Marginal Effects and Discrete Change
605
References
613
Author Index
625
Subject Index
629
Back cover
639
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