Introduces the theory, techniques, and applications of exact statistical inference for categorical data. Using elementary concepts and actual data applications, this work brings information formally buried in specialists' journals. It also includes topics ranging from the one-binomial case to stratified 2x2 tables and dose-response data.

Despite the growing appeal of exact statistical methods, beginner-level material on the subject is hard to come by. This book introduces the theory, techniques, and applications of exact statistical inference for categorical data. Using elementary concepts and actual data applications, it brings information formally buried in specialists' journals to the broad audience that needs it. Topics range from the one-binomial case to stratified 2x2 tables and dose-response data. The tools of statistical inference used throughout the book are mid-p values, confidence interval curves, and exact power. To comprehend the material, readers require only a first course in statistics.

"The book's infrastructure makes it a good candidate as a teaching resource. The chapters offer detailed worked example. Furthermore, each chapter includes exercises . . . some practitioners in discrete data analysis also will find this book useful." - In Technometrics, August 2008, Vol. 50, No. 3