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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
137
Citations
406293
World Ranking
2
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2022 - Research.com Mathematics in United States Leader Award
  • 2010 - Member of the National Academy of Sciences
  • 1995 - Samuel S. Wilks Memorial Award, American Statistical Association (ASA)
  • 1993 - Fellow of the American Academy of Arts and Sciences
  • 1984 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1977 - Fellow of the American Statistical Association (ASA)
  • 1977 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Donald B. Rubin is affiliated with Temple University in the United States. Their research primarily falls within the field of Mathematics, with a particular emphasis on the subfield of Statistics and Probability. The scholar has also contributed to Molecular Biology, Artificial Intelligence, Sociology and Political Science, and Management Science and Operations Research.

Their work focuses on a range of topics including:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Causal Inference Techniques
  • Statistical Methods in Clinical Trials
  • Gene expression and cancer classification
  • Optimal Experimental Design Methods
  • Advanced Statistical Methods and Models

Donald B. Rubin has published in several venues, with frequent appearances in:

  • Proceedings of the National Academy of Sciences
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Biostatistics & Epidemiology
  • Journal of the Canadian Association of Gastroenterology

Recent papers authored or coauthored by Rubin include:

  • When possible, report a Fisher-exact Pvalue and display its underlying null randomization distribution, 2020, Proceedings of the National Academy of Sciences
  • Automatic detection of influential actors in disinformation networks, 2021, Proceedings of the National Academy of Sciences
  • Rerandomization in $2^{K}$ factorial experiments, 2020, The Annals of Statistics
  • Heterogeneous ozone effects on the DNA methylome of bronchial cells observed in a crossover study, 2020, Scientific Reports
  • Nonstandard conditionally specified models for nonignorable missing data, 2020, Proceedings of the National Academy of Sciences

Frequent collaborators include:

  • Marie-Abèle Bind
  • Steven T. Smith
  • Edward K. Kao
  • Erika Mackin
  • Danelle C. Shah

Donald B. Rubin has received several awards throughout their career:

  • Member of the National Academy of Sciences, 2010
  • Samuel S. Wilks Memorial Award, American Statistical Association (ASA), 1995
  • Fellow of the American Academy of Arts and Sciences, 1993
  • Fellow of the American Association for the Advancement of Science (AAAS), 1984
  • Fellow of John Simon Guggenheim Memorial Foundation, 1977
  • Fellow of the American Statistical Association (ASA), 1977

Best Publications

  • Maximum likelihood from incomplete data via the EM algorithm

    Arthur P. Dempster;Nan M. Laird;Donald B. Rubin

  • The central role of the propensity score in observational studies for causal effects

    Paul R. Rosenbaum;Donald B. Rubin

  • Statistical Analysis with Missing Data

    Roderick J A Little;Donald B Rubin

  • Bayesian Data Analysis

    Andrew Gelman;John B. Carlin;Hal S. Stern;David B. Dunson

  • Multiple imputation for nonresponse in surveys

    Donald B. Rubin

  • Inference from Iterative Simulation Using Multiple Sequences

    Andrew Gelman;Donald B. Rubin

  • Inference and missing data

    Donald B. Rubin

  • Estimating causal effects of treatments in randomized and nonrandomized studies.

    Donald B. Rubin

  • Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data

    Roderick J. A. Little;Donald B. Rubin

  • Identification of Causal Effects Using Instrumental Variables

    Joshua D. Angrist;Guido W. Imbens;Donald B. Rubin

  • Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score

    Paul R. Rosenbaum;Donald B. Rubin

  • Testing the number of components in a normal mixture

    Yungtai Lo;Nancy R. Mendell;Donald B. Rubin

  • Reducing Bias in Observational Studies Using Subclassification on the Propensity Score

    Paul R. Rosenbaum;Donald B. Rubin

  • Multiple Imputation After 18+ Years

    Donald B. Rubin

  • Estimating Causal Effects from Large Data Sets Using Propensity Scores

    Donald B. Rubin

  • Bayesian Inference for Causal Effects: The Role of Randomization

    Donald B. Rubin

  • Comparing correlated correlation coefficients

    Xiao-li Meng;Robert Rosenthal;Donald B. Rubin

  • Causal Inference for Statistics, Social, and Biomedical Sciences

    Guido W. Imbens;Donald B. Rubin

  • Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse

    Donald B. Rubin;Nathaniel Schenker

  • Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation

    Donald B. Rubin

  • Bayesian data analysis, third edition

    A Gelman;JB Carlin;HS Stern;DB Dunson

  • Multiple Imputation for Nonresponse in Surveys

    William M. Campion;Donald B. Rubin

Frequent Co-Authors

Guido W. Imbens
Guido W. Imbens Stanford University
Robert Rosenthal
Robert Rosenthal University of California, Riverside
Roderick J. A. Little
Roderick J. A. Little University of Michigan–Ann Arbor
Andrew Gelman
Andrew Gelman Columbia University
John B. Carlin
John B. Carlin University of Melbourne
Aki Vehtari
Aki Vehtari Aalto University
David B. Dunson
David B. Dunson Duke University
Paul R. Rosenbaum
Paul R. Rosenbaum University of Pennsylvania
Constantine Frangakis
Constantine Frangakis Johns Hopkins University
Paul W. Holland
Paul W. Holland Princeton University

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