This new edition continues to provide basic, comprehensive coverage of key methods in categorical data analysis with multiple variables. Maintaining the same nontechnical, user-friendly approach, coverage has been added to the SecondEdition to take the topic of categorical data analysis into a more applied direction. Coverage begins with an introduction to the basic methods and applications of contingency tables and loglinear models. Subsequent chapters examine analytical methods for matched data and count data, the Mantel-Haenszel method, Kappa statistics, ordinal risks, odds ratio estimates, goodness-of-fit, and various regression models for categorical data. The chapter on logistic regression models has been completely revised, with a new section on quantal bioassays and updated coverage of modeling probabilities, now incorporating new models such as PROBIT. A new chapter on diagnostic medicine incorporates the previous editions discussion of screening tests and ROC curves and another added chapter introduces early-phase clinical trials, including detailed coverage of design for Phase I and Phase II clinical trials. Exercises and examples have been updated and added throughout, and the inclusion of SAS codes has been maintained to assist readers with the analysis and interpretation of the presented data.
- ISBN: 978-0-470-37130-5
- Editorial: John Wiley & Sons
- Encuadernacion: Rústica
- Páginas: 416
- Fecha Publicación: 15/01/2010
- Nº Volúmenes: 1
- Idioma: Inglés