- Categorical Data Analysis
- Generalized Linear Models
- Social Statistics
- Fellow, American Statistical Association
- Fellow, Institute of Mathematical Statistics
- Honorary doctorate, De Montfort University (Leicester, U.K.), 1999
- Statistician of the Year, Chicago chapter of American Statistical Association, 2003
- Recipient of the first Herman Callaert Leadership Award in Statistical Education and Dissemination, Hasselt University, Belgium, 2004
- B.A. University of Rochester, 1968
- Ph.D. University of Wisconsin, 1972
- Honorary Doctor of Science, De Montfort University (Leicester, U.K.), 1999
- Statistics: The Art and Science of Learning from Data, 3rd edition, Pearson (2012), with Chris Franklin.
- Categorical Data Analysis, 3rd edition, Wiley (2012).
- An Introduction to Categorical Data Analysis, 2nd edition, Wiley (2007).
- Statistical Methods for the Social Sciences, 4th edition, Pearson (2008) (with B. Finlay).
- Analysis of Ordinal Categorical Data, 2nd edition, Wiley (2010)
- Strength in Numbers: The Rising of Academic Statistics Departments in the U.S., Springer (2012), co-edited with Xiao-Li Meng.
The text Statistics: The Art and Science of Learning from Data (3rd edition, 2012) written with Christine Franklin, is designed for a one-term or two-term course on an introduction to statistics presented with a conceptual approach. More information, including a link to the Table of Contents and sample chapters, is available at my personal home page. My text Categorical Data Analysis (third edition, 2012) is designed for a masters-level course on this topic. My personal home page, listed in the heading above contains a link to a website for the text that includes datasets, some solutions, and software information. An Introduction to Categorical Data Analysis (second edition, 2007) presents a nontechnical introduction to topics such as logistic regression and loglinear models. For SAS files containing data sets from this text, go to my personal home page. The fourth edition of my text Statistical Methods for the Social Sciences (2008) is designed for a two-semester sequence in statistical methods. It begins with the basics of statistical description and inference, and the second half of the book concentrates on regression methods, including multiple regression, ANOVA and repeated measures ANOVA, analysis of covariance, logistic regression, and generalized linear models. For a file containing some of the large data sets from the text, go to my personal home page, listed in the heading above.