Agresti A. Analysis of Ordinal Categorical Data

Wiley, 2010. — 420 p. — 2nd ed. — ISBN: 0470082895, 9780470082898Statistical 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.Alan Agresti, PhD, is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida and Visiting Professor in the Department of Statistics at Harvard University. A Fellow of the American Statistical Association and the Institute of Mathematical Statistics, Dr. Agresti has published extensively on the topic of categorical data analysis and has presented lectures and short courses on the subject in more than thirty countries.Ordinal Probabilities, Scores, and Odds Ratios.
Logistic Regression Models Using Cumulative Logits.
Other Ordinal Logistic Regression Models.
Other Ordinal Multinomial Response Models.
Modeling Ordinal Association Structure.
Non-Model-Based Analysis of Ordinal Association.
Matched-Pairs Data with Ordered Categories.
Clustered Ordinal Responses: Marginal Models.
Clustered Ordinal Responses: Random Effects Models.
Bayesian Inference for Ordinal Response Data.
Appendix Software for Analyzing Ordinal Categorical Data.Example Index.
Subject Index.