“This book is particularly useful as a book that focuses on the analysis of discrete data rather than the theory of discrete data analysis. It is suitable for a large variety of readers: undergraduates, graduates, as well as scientific researchers. Some key features of the book separate it from other discrete data analysis textbooks. One is the use of powerful statistical software R as the learning bridge between applications and theory of discrete data analysis. For easily understood methods, the book provides multiple examples of R codes that showcase them being carried out. For methods with challenging statistical backgrounds, the R codes and the author’s personal website show their working principles. Another one is the selection of topics which considers both lecture time (one semester) and major analytic techniques in discrete data analysis. The videos and lecture notes in the author’s personal website provide great benefits to college students, instructors, as well as self-learners.”
~Xianggui (Harvey) Qu, Professor of Statistics, Oakland University

“I suspect that I’m not alone in singing high praises for the first (2015) edition of Bilder and Loughin’s Analysis of Categorical Data with R by CRC Press; so when the opportunity came along to peruse the second (2024) edition, I was delighted. The new edition is equally superb, and the changes from the first edition are in the much-appreciated subtle refinements, honing, and added clarity. The intended audience is the advanced undergraduate or graduate data analytics-focused student or the practitioner using these methods. Notable features of the book are its readability, thorough illustrations with real data (with supplied code so one can easily follow along), excellent exercises, and the authors’ delving just deep enough (but not too deep) into the important methodological details.”
~Tim O’Brien, Loyola University Chicago

“Analysis of Categorical Data with R (2nd ed.)” by Christopher R. Bilder and Thomas M. Loughin is an essential resource for students, researchers, and professionals in the fields of statistical or data sciences. This a comprehensive book which demystifies the complexities of analyzing categorical data using R, a powerful and widely used statistical software. With its clear explanations, contemporary and practical examples, and step-by-step instructions, the book enables readers to apply statistical theories and models to real-world problems efficiently. Key features include in-depth coverage of logistic regression, contingency tables, and multinomial logistic regression, along with insightful case studies that illustrate the application of techniques in various disciplines. Whether you’re a novice looking to grasp the basics of categorical data analysis or a seasoned analyst seeking to enhance your skills, this book offers the tools and knowledge needed to master the analysis of categorical data with R.”
~Abdus Sattar, Case Western Reserve University