Analysis of Ordinal Categorical Data, Second Edition

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.Content:
Chapter 1 Introduction (pages 1–8):
Chapter 2 Ordinal Probabilities, Scores, and Odds Ratios (pages 9–43):
Chapter 3 Logistic Regression Models Using Cumulative Logits (pages 44–87):
Chapter 4 Other Ordinal Logistic Regression Models (pages 88–117):
Chapter 5 Other Ordinal Multinomial Response Models (pages 118–144):
Chapter 6 Modeling Ordinal Association Structure (pages 145–183):
Chapter 7 Non?Model?Based Analysis of Ordinal Association (pages 184–224):
Chapter 8 Matched?Pairs Data with Ordered Categories (pages 225–261):
Chapter 9 Clustered Ordinal Responses: Marginal Models (pages 262–280):
Chapter 10 Clustered Ordinal Responses: Random Effects Models (pages 281–314):
Chapter 11 Bayesian Inference for Ordinal Response Data (pages 315–344):