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Alan Agresti
Distinguished Professor Emeritus
Department of Statistics
University of Florida
204 Griffin-Floyd Hall
Gainesville, FL 32611-8545
PHONE: (352) 273-2981
FAX: (352) 392-5175
E-MAIL: aa "at" stat
"dot" ufl "dot" edu
I am away from the University of Florida until January 2010. Between
now and then, I am not checking e-mail regularly.
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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-
- University of Florida Research Foundation (UFRF) Professorship, 1997-2000
- College Award for Excellence in Teaching (TIP), 1995
- 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, and invited lectures and short
courses in about 30 countries
Research Interests
My primary research interests are in categorical data analysis.
Other general areas of interest include models for discrete data,
social statistics, biostatistics, and statistical education
(particularly service courses and the presentation of statistical
ideas to nonstatisticians). For more of a personal insight, here is
the text of
an interview
that Jackie Dietz conducted with me that was published in Stats
magazine in 2004.
Textbook Information and Supplemental Files
1. The
text 
Statistics:
The Art and Science of Learning from Data (2nd edition,
Pearson Prentice Hall, 2008) was written with Christine Franklin of
the Statistics Department at the University of Georgia. 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 text includes numerous activities and links
to applets to aid in student learning (although use of these by the
instructor is optional). The link above has a Table of Contents and
other information about the book. Many supplemental materials are
available from Pearson Prentice Hall, including an annotated
instructor's edition, a lab workbook, videotaped lectures, and
software supplements. Contact Ms. Dierdre Lynch, the Editor-in-Chief
for Statistics and Mathematics at Pearson Education, for details
(Deirdre.Lynch@AWL.com).
2. The
text 
Statistical
Methods for the Social Sciences (4th edition, Pearson Prentice
Hall, 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. For applets used
in some exercises of the new edition, go
to applets for
SMSS. For a file containing most of the large data sets
from the text, click on Website with
data for SMSS. Many of these data files are also
available in in zipped form, in comma-separated files
(.csv) csv
data files and in text files
(.txt) text
data files, thanks to Andrew C. Thomas at Harvard
University. For examples of the use of the software Stata for various
analyses for examples in this text, see the useful site set up by
the UCLA
Statistical Computing Center. I have developed Powerpoint files for
lectures from Chapters 1-12 of this text that are available to
instructors using this text. Please contact me for
details.
3. The
text 
Categorical Data Analysis, 2nd Edition
is in its second
edition (Wiley, 2002). I've constructed
a Website for
Categorical Data Analysis that provides datasets used for
examples, solutions to some odd-numbered exercises, information about
software, and a list of some typos and errors. Dr. Laura Thompson has
prepared a detailed manual (over 250 pages long!) on the use of R or
S-Plus to conduct all the analyses in this text. You can get a copy
of this excellent resource
at Laura
Thompson R and S manual for CDA. Compared with the first edition,
this edition has more emphasis on logistic regression and generalized
linear models. There are new chapters on an introduction to
distributions and inference for discrete distributions, marginal
models (ML and GEE), generalized linear mixed models (including random
effects), and other mixture models (such as latent class models, the
beta binomial, and nonparametric approaches). For more information
about the new edition, see the Table of Contents at the link to
Wiley's website at the image above of the book.
4. The text 
An Introduction to Categorical Data Analysis
was recently published in a second edition (Wiley, 2007). It presents
a nontechnical introduction to topics such as logistic regression.
Compared with the first edition, this edition has more emphasis on
logistic regression and generalized linear models. There are new
chapters on an introduction to inference for discrete distributions,
marginal models for clustered, correlated responses, and generalized
linear mixed models (including random effects). This book is a
lower-technical-level and shorter version of the "Categorical Data
Analysis" text mentioned in (3) above. I've constructed a website for
that text that provides information about the use of
Software
for Categorical Data Analysis such as SAS, R and S-Plus, SPSS,
Stata, and StatXact. For SAS files containing data sets from the
text, click on Data sets for Intro
CDA. Here are
some corrections
for the 1st edition and a pdf file
of corrections for the 2nd
edition.
5. The
text 
Analysis of Ordinal Categorical Data
(Wiley, 1984) is
also still available, but it's old and needs revision. I am in the
process of preparing a second edition for Wiley, hoping to finish it
in 2009.
Publications
Pdf file
listing all published
books and articles
Publications since 1997
Books
Statistics: The Art and Science of Learning from Data,
2nd edition, Pearson Prentice Hall (2009), with Chris Franklin.
An Introduction to Categorical Data Analysis, 2nd ed., Wiley
(2007).
Categorical Data Analysis, 2nd edition, Wiley
(2002).
Statistical Methods for the Social Sciences, 4th
edition, Pearson Prentice Hall (2009) (with B. Finlay).
Articles
A model for repeated measurements of a multivariate binary response,
Journal of the American Statistical Association (1997).
Evaluating agreement and disagreement among movie reviewers,
CHANCE (1997) (with L. Winner).
Approximate is better than exact for interval estimation of
binomial proportions, The American Statistician
(1998) (with B. Coull).
Order-restricted inference for monotone trend alternatives in
contingency tables Computational Statistics & Data Analysis
(1998) (with B. Coull).
On logit confidence intervals for the odds ratio with small samples,
Biometrics (1999).
The use of mixed logit models to reflect subject heterogeneity in
capture-recapture studies, Biometrics (1999) (B. Coull and
A. Agresti).
Modeling a categorical variable allowing arbitrarily many
category choices, Biometrics (1999) (with I. Liu).
Modelling ordered categorical data: Recent advances and future
challenges, Statistics in Medicine (1999).
Random effects modeling of multiple binary responses using the
multivariate binomial logit-normal distribution, Biometrics
(2000) (B. A. Coull and A. Agresti).
Strategies for comparing treatments on a binary response with
multi-center data, Statistics in Medicine (2000) (with
J. Hartzel).
Hierarchical Bayesian analysis of binary matched pairs data,
Statistica Sinica (2000) (M. Ghosh, M. Chen, A. Ghosh, and
A. Agresti).
Noninformative priors for one parameter item response models,
Journal of Statistical Planning and Inference (2000) (M. Ghosh,
M. Chen, A. Ghosh, and A. Agresti)
Challenges for categorical data analysis in the twenty-first
century, in Statistics for the 21st Century, edited by
C. R. Rao and G. J. Szekely, Marcel Dekker (2000)
Summarizing the predictive power of a generalized linear
model, Statistics in Medicine (2000) (B. Zheng and A. Agresti)
Simple and effective confidence intervals for proportions and
difference of proportions result from adding two successes and two
failures, The American Statistician (2000) (with B. Caffo)
Random effects modeling of categorical response data,
Sociological Methodology (2000) (A. Agresti, J. Booth,
J. P. Hobert, and B. Caffo)
Describing heterogeneous effects in stratified ordinal contingency
tables, with application to multi-center clinical trials,
Computational Statistics & Data Analysis (2001) (J. Hartzel,
I. Liu, and A. Agresti)
Strategies for modeling a categorical variable allowing
multiple category choices, Sociological Methods and Research
(2001) (A. Agresti and I. Liu)
Exact inference for categorical data: recent advances and
continuing controversies, Statistics in Medicine (2001)
A correlated probit model for multivariate repeated measures
of mixtures of binary and continuous responses, Journal of American
Statistical Association (2001) (R.V. Gueorguieva
and A. Agresti)
On small-sample confidence intervals for parameters in
discrete distributions, Biometrics (2001) (A. Agresti and
Y. Min)
Multinomial logit random effects models, Statistical
Modelling (2001) (J. Hartzel, A.
Agresti, and B. Caffo)
Modeling clustered ordered categorical data: A survey,
International Statistical Review (2001) (A. Agresti and
R. Natarajan)
Statistical issues in the 2000 U.S. Presidential election in
Florida, Journal of Law and Public Policy (Fall 2001 issue)
(A. Agresti and B. Presnell)
The analysis of contingency tables under inequality constraints,
Journal of Statistical Planning and
Inference (2002) (A. Agresti and B. A. Coull).
Measures of relative model fit, Computational Statistics
and Data Analysis (2002) (A. Agresti and B. Caffo).
Unconditional small-sample confidence intervals for the odds
ratio, Biostatistics (2002) (A. Agresti and Y. Min).
Modeling nonnegative data with clumping at zero: A survey,
Journal of the Iranian Statistical Society (2002) (Y. Min
and A. Agresti).
Links between binary and multi-category logit item response
models and quasi-symmetric loglinear models, for special issue of
Annales de la Faculte des Sciences de Toulouse Mathematiques,
to honor retirement of Henri Caussinus, (2002).
Dealing with discreteness: Making `exact' confidence intervals
for proportions, differences of proportions, and odds ratios more
exact, Statistical Methods in Medical Research (2003)
A class of generalized log-linear models with random effects,
Statistical Modelling (2003) (B. A. Coull and
A. Agresti).
Effects and noneffects of paired identical observations in
comparing proportions with binary matched-pairs data, Statistics
in Medicine (2004) (A. Agresti and Y. Min).
Improved confidence intervals for comparing matched
proportions, Statistics in Medicine (2004) (A. Agresti and
Y. Min).
Interview with Alan Agresti, conducted by Jackie Dietz,
STATS (The Magazine for Students of Statistics) (2004).
Examples in which misspecification of a random effects
distribution reduces efficiency, Computational Statistics &
Data Analysis (2004) (A. Agresti, P. Ohman, and
B. Caffo).
The analysis of ordered categorical data: An overview and a
survey of recent developments, invited discussion paper for the
Spanish Statistical Journal, TEST (2005) (I. Liu and
A. Agresti).
Multivariate tests comparing binomial probabilities, with
application to safety studies for drugs,
Applied Statistics (JRSS-C) (2005)
(A. Agresti and B. Klingenberg).
Frequentist performance of Bayesian confidence intervals for
comparing proportions in 2x2 contingency tables, Biometrics
(2005) (A. Agresti and Y. Min).
Random effect models for repeated measures of zero-inflated
count data, Statistical Modelling (2005) (Y. Min and
A. Agresti).
Bayesian inference for categorical data analysis,
Statistical Methods and Application (Journal of the Italian
Statistical Society), (2005) (A. Agresti and
D. Hitchcock).
Randomized confidence intervals and the mid-P approach,
discussion of article by C. Geyer and G. Meeden, Statistical
Science, (2005) (A. Agresti and A. Gottard).
Multivariate extensions of McNemar's test, Biometrics,
(2006) (B. Klingenberg and A. Agresti).
Independence in multi-way contingency tables: S. N. Roy's
breakthroughs and later developments, Journal of Statistical
Planning and Inference, (2007) (A. Agresti and
A. Gottard).
A class of ordinal quasi-symmetry models for square contingency
tables, Statistics and Probability Letters, (2007)
(M. Kateri and A. Agresti).
Nonconservative exact small-sample inference for discrete data,
Computational Statistics and Data Analysis, (2007)
(A. Agresti and A. Gottard).
Modeling and inference for an ordinal effect size measure,
Statistics in Medicine, (2008) (E. Ryu and
A. Agresti).
Simultaneous confidence intervals for comparing binomial
parameters, Biometrics, (2008) (A. Agresti,
M. Bini, B. Bertaccini, and E. Ryu).
Pseudo-score confidence intervals for parameters in discrete
statistical models, to appear in Biometrika, (2009) (A. Agresti
and E. Ryu).
A generalized regression model for a binary response,
(M. Kateri and A. Agresti), submitted for publication.
Quasi-symmetric graphical log-linear models, (A. Gottard,
G.M. Marchetti, and A. Agresti), submitted for publication.
Home pages for courses at UF
Other Information
The University of Florida Statistics Department home page
Jacki and Alan's
(Above home page picture among the bluebells taken by Jacki Levine
in the Forest of Dean, Gloucestershire, England, my mother's home
region)
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