Alan Agresti Distinguished Professor Emeritus Department of Statistics University of Florida Gainesville, FL 32611-8545 E-MAIL: aa "at" stat "dot" ufl "dot" edu

I was employed by the University of Florida from 1972-2010. I have also had visiting professor positions at Harvard University (including fall semester each year 2008-2014), Imperial College (London), the London School of Economics, and shorter visiting positions at several universities including Florence and Padova (Italy), Hasselt (Belgium), Paris VII, Boston University, and Oregon State.

Honors

• 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, Diepenbeek, Belgium, 2004
• Fellow, American Statistical Association, 1990
• Fellow, Institute of Mathematical Statistics, 2008
• University of Florida Distinguished Professor, 2000-2010
• University of Florida Research Foundation (UFRF) Professorship, 1997-2000
• Excellence in Continuing Education Award from American Statistical Association, 2002
• 36th Annual Allen T. Craig lecturer, University of Iowa, 2006
• Keynote lectures at conferences include Swiss Statistical Society (1992), French Biometric Society (1992), Conference on Statistical Issues in Biopharmaceutical Environments (1999) in the UK, Army Conference on Applied Statistics (2002), CDC annual awards meeting (2003), Applied Statistics in Ireland (2004), Hawaii International Conference on Statistics, Mathematics, and Related Fields (2004), International Society of Clinical Biostatistics (2005) in Hungary, CompStat (2006) in Italy, Applied Statistics (2007) in Slovenia, Royal Statistical Society (2008) in UK, Colombian Statistics Symposium (2012), Portuguese-Galician Biometry Meeting (2013), New England Statistics Symposium (2014), and invited lectures and short courses in about 35 countries

Book Information and Supplemental Files

1. The book


An Introduction to Categorical Data Analysis, (Wiley, 2019) was recently published in its 3rd edition. This new edition shows how to do all analyses using R software and add some new material (e.g., Bayesian methods, classification and smoothing). This book, which presents a nontechnical introduction to topics such as logistic regression, is a lower-technical-level and shorter version of the "Categorical Data Analysis" text mentioned above. I've constructed a website for these texts that provides information about the use of Software for Categorical Data Analysis such as SAS, R and S-Plus, SPSS, Stata, and StatXact. Data files from the text are at data files for Intro CDA. They are also available at a Github site for CDA data files and at the Wiley companion website for Intro CDA. For some data files from the 2nd edition, click on data files for Intro CDA. For SAS files containing data sets from the 2nd edition, click on SAS data sets for Intro CDA. Here are some corrections for the 1st edition of this book, a pdf file of corrections for the 2nd edition, and a pdf file of corrections for the 3rd edition.

2. The text
Foundations of Linear and Generalized Linear Models, published by Wiley in February 2015, presents an overview of the most commonly used statistical models by discussing the theory underlying the models and showing examples using R software. The book begins with the fundamentals of linear models, such as showing how least squares projects the data onto a model vector subspace and orthogonal decompositions of the data yield comparisons of models. The book then covers the theory of generalized linear models, with chapters on binomial and multinomial logistic regression for categorical data and Poisson and negative binomial loglinear models for count data. The book also introduces quasi-likelihood methods (such as generalized estimating equations), linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian linear and generalized linear modeling, and regularization methods for high-dimensional data. The book has more than 400 exercises. The book's website contains supplementary information, including data sets and corrections. Here is an interview about the book in the Wiley publication "Statistics Views." Here is a book review in the journal Biometrics,a book review in Biometrical Journal, and some reviews at Amazon.

3. The book


Strength in Numbers: The Rising of Academic Statistics Departments in the U.S., co-edited with Xiao-Li Meng, has been published by Springer (2012). This book has a chapter for each of about 40 Statistics and Biostatistics departments founded in the U.S. by the mid-1960s, describing the evolution of those departments and the faculty and students who worked in them. Included are about 200 historical photos. See the Springer site for other details.

4. The text
Categorical Data Analysis, 3rd Edition

has been published in its third edition (Wiley, 2013). I've constructed a Website for Categorical Data Analysis that provides datasets used for examples, solutions to some exercises, information about using R, SAS, Stata, and SPSS software for conducting the analyses in the text, and a list of some typos and errors. Many of the datasets are also available at a GitHub site, data files at GitHub. Here is an interview that the Wiley publication "Statistics Views" conducted with me to mark the publication of the new edition. A website for second edition has some material for the 2nd edition. Dr. Laura Thompson has prepared a detailed manual on the use of R or S-Plus to conduct all the analyses in the 2nd edition. Here is a copy of this excellent resource: Laura Thompson R and S manual for CDA.

5. The text
Analysis of Ordinal Categorical Data

(Wiley, 1984) has been revised, and the second edition was published in 2010. My ordinal categorical website contains (1) data sets for some examples in the form of SAS programs for conducting the analyses, (2) examples of the use or R for fitting various ordinal models, (3) examples of the use of Joe Lang's mph.fit R function for various analyses in the book that are not easily conducted with SAS, Stata, SPSS, and standard functions in R, and (4) corrections of errors in early printings of the book (Please send me any that you notice).

6. The text
Statistics: The Art and Science of Learning from Data (4th edition, Pearson, 2017) was written with Christine Franklin of the University of Georgia. The latest (4th) edition was co-authored by Bernhard Klingenberg of Williams College, who has developed a wonderful set of applets and other resources for teaching from the book (see Art of Stat ). This text is designed for a one-term or two-term undergraduate course or a high school AP course on an introduction to statistics, presented with a conceptual approach. The link AFK has a Table of Contents and information about the book. Many supplemental materials are available from Pearson, including an annotated instructor's edition, a lab workbook, videotaped lectures, and software supplements. Contact Ms. Suzanna Bainbridge, the Acquisitions Editor for Statistics at Pearson Education, for details (suzanna.bainbridge@Pearson.com). An Italian translation of the 3rd edition is now available, thanks to Giuseppe Espa, Rocco Micciolo, Diego Giuliani and Maria Michela Dickson at the Univ. of Trento.

7. The book


Statistical Methods for the Social Sciences, (5th edition, Pearson, published January 2017; 4th edition, by A. Agresti and B. Finlay, published 2009) is designed for a two-semester sequence. The book begins with the basics of statistical description and inference, and the second half concentrates on regression methods, including multiple regression, ANOVA and repeated measures ANOVA, analysis of covariance, logistic regression, and generalized linear models. The new edition adds R and Stata for software examples as well as introductions to new methodology such as multiple imputation for missing data, random effects modeling including multilevel models, robust regression, and the Bayesian approach to statistical inference. For applets used in some examples and exercises of the new edition, go to applets. These were designed by Bernhard Klingenberg for the text "Statistics: The Art and Science of Learning from Data" (4th ed.) by Agresti, Franklin, and Klingenberg. The book's website contains supplementary information, including data sets and corrections. Special directories also have data files in Stata format and in SPSS format. Some years ago, Jeffrey Arnold of the U of Washington kindly set up a R package at CRAN for R users to be able to access the datasets used in the 4th edition of this text. See R data files. He has also put the data files at a GitHub site, data files at GitHub. For examples of the use of the software Stata for various analyses for examples in the 4th edition of this text, see the useful site set up by the UCLA Statistical Computing Center. Thanks to Margaret Ross Tolbert for the cover art for the 5th edition. Margaret is an incredibly talented artist who has helped draw attention to the beauty but environmental degradation of the springs in north-central Florida (see www.margaretrosstolbert.com). I am also pleased to report (due to my partial Italian heritage) that there is also an Italian version of the first ten chapters of the 4th edition of this book (Statistica per le Scienze Sociali) and of the entire book (Metodi Statistici di Base e Avanzati per le scienze sociali) published by Pearson, and there is also a Portuguese version -- see "Metodos Estatisticos para as Ciencas Socias" at Portuguese SMSS -- and a Chinese version, and it is being translated into Spanish. I have developed Powerpoint files for lectures from Chapters 1-12 of this text that are available to instructors using this text. (Chapters 1-7 of these have also been translated into Spanish by Norma Leyva of Universidad Iberoamericana in Mexico.) Please contact me for details. Finally, here is a link to a workshop held by the Department of Sociology, Oxford University, in 2012 that discussed issues in the teaching of quantitative methods to social science students.

Short Courses

History of Statistics at UF

Research and Publications

Books

Some Articles

Old home pages for courses at UF

• STA 6126

• STA 6127

• STA 6505

• STA 4504/5503

• STA 7249

Other Information

The University of Florida Statistics Department home page

• UF STATISTICS

Here is a seminar (in mp4 format) on the

• History of Categorical Data Analysis that I presented in October 2015 at Istat (the Italian Census Bureau) in Rome, Italy

Participants at workhop in my honor, Florence Italy, September 18, 2019. "Grazie mille ad Anna Gottard per aver organizzato questo meraviglioso evento." Here is the program about the Florence workshop.

From my Italian citizenship ceremony in Ferrazzano (2017)

European Statistics research colleagues and dear friends, from my Italian citizenship ceremony (2017)

My roots (and two of my favorite spots on earth)

Ferrazzano, Molise, Italy (la citta` di mia nonna italiana)

Ferrazzano, Molise, Italy

Ferrazzano, Molise, Italy

Campobasso (Ferrazzano is 5 km south of this capital city of Molise, Italy

Forest of Dean, Gloucestershire, England (the land of my British grandparents)

• Jacki and Alan's Pound-wise guide to London from the December--January 2007 issue of Gainesville magazine. (My wife Jacki Levine is founder and was editor of this bi-monthly magazine for 13 years.) More up-to-date, here is a useful site, courtesy of Rick Steves, about experiencing untouristy London: Untouristy London. We would also suggest Borough Market, and the walk along the south bank of the Thames from the South Bank arts complex to the Tate and then Tower Bridge (that part is touristy), but then further east to Rotherhithe, stopping at the Mayflower pub.

The picture at the top of my home page was taken by Jacki Levine in the Forest of Dean, Gloucestershire, UK, among the May bluebells.