Researchers in fields ranging from biology and medicine to the social sciences, law, and economics regularly encounter variables that are discrete or categorical in nature. While there is no dearth of books on the analysis and interpretation of such data, these generally focus on large sample methods. When sample sizes are not large or the data are

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.