Alan Agresti

University of Florida — United States

Mathematics · Physical Sciences

69h-index41.4kcitations265works14.02yr avg
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Research Topics

Advanced Statistical Methods and Models(96), Statistical Methods and Bayesian Inference(84), Statistical Methods in Clinical Trials(38), Advanced Causal Inference Techniques(27), Bayesian Modeling and Causal Inference(24)

Publications265 total

Categorical Data Analysis
International Encyclopedia of Statistical Science·2025· 14 cited
Confidence Intervals for Discrete Data in Clinical Research <b>Confidence Intervals for Discrete Data in Clinical Research</b> , Vivek Pradhan, Ashis K. Gangopadhyay, Sandeep M. Menon, Cynthia Basu, and Tathagata Banerjee, Boca Raton, FL: Chapman &amp; Hall/CRC Press, 2022, xiv + 226 pp., $119.95(H), ISBN: 978-1138048980.
Journal of the American Statistical Association·2023
A historical overview of textbook presentations of statistical science
Scandinavian Journal of Statistics·2023· 4 cited
Simple Ways to Interpret Effects in Modeling Binary Data
Statistics for social and behavioral sciences·2023· 2 cited
A Review of Score-Test-Based Inference for Categorical Data
Journal of Quantitative Economics·2022· 2 cited
Classification and Clustering
2021
Probability Distributions
2021
Introduction to Statistical Science
2021· 1 cited
Generalized Linear Models
2021· 5 cited
Statistical Inference: Estimation
2021
Sampling Distributions
2021· 1 cited
Linear Models and Least Squares
2021· 1 cited
Statistical Inference: Significance Testing
2021
Foundations of Statistics for Data Scientists
2021· 24 cited
Statistical Science: A Historical Overview
2021
The foundations of statistical science: A history of textbook presentations
Brazilian Journal of Probability and Statistics·2021· 8 cited
Foundations of Statistics for Data Scientists: With R and Python
2021· 2 cited
Reflections on Murray Aitkin's contributions to nonparametric mixture models and Bayes factors
Statistical Modelling·2021Open Access
Interpreting Effects in Generalized Linear Modeling
Studies in classification, data analysis, and knowledge organization·2021
The class of CUB models: statistical foundations, inferential issues and empirical evidence
Statistical Methods & Applications·2019· 5 cited
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Frequent Co-authors

Yongyi Min(5), Brian Caffo(4), Brent A. Coull(3), Clifford C. Clogg(2), Ivy Liu(2), Joseph L. Fleiss(1), EJD(1), Barbara Finlay(1), Robert K. Tsutakawa(1), Maria Kateri(1), David E. Hapeman(1), Dennis Lendrem(1), Michael E. Sobel(1), Graham Upton(1), Barbara F. Agresti(1), Beiyao Zheng(1), Joseph B. Lang(1), Ralitza Gueorguieva(1), Jonathan Hartzel(1), Brian Caffo(1)