World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
69
Citations
96363
World Ranking
281
National Ranking
154

Research.com Recognitions

  • 2010 - Fellow of the American Academy of Arts and Sciences
  • 2005 - Samuel S. Wilks Memorial Award, American Statistical Association (ASA)

Overview

Roderick J. A. Little is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on the field of Mathematics, with particular specialization in Statistics and Probability.

The scientist's work spans several subfields including Sociology and Political Science, General Health Professions, Economics and Econometrics, and Health. Their research topics cover multiple areas such as Statistical Methods and Bayesian Inference, Advanced Causal Inference Techniques, Statistical Methods and Inference, Survey Methodology and Nonresponse, Health disparities and outcomes, Survey Sampling and Estimation Techniques, and Statistical Methods in Clinical Trials.

Selected recent papers authored by Roderick J. A. Little include:

  • Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework (2021), published in Journal of Clinical Epidemiology
  • A Comparison of Three Popular Methods for Handling Missing Data: Complete-Case Analysis, Inverse Probability Weighting, and Multiple Imputation (2022), published in Sociological Methods & Research
  • Missing Data Assumptions (2020), published in Annual Review of Statistics and Its Application
  • Estimands, Estimators, and Estimates (2021), published in JAMA

Frequent co-authors collaborating with Roderick J. A. Little include:

  • Yajuan Si
  • Rebecca Andridge
  • Brady T. West
  • Nell Sedransk
  • Katherine J. Lee

Major publication venues featured in the scientist's record are:

  • arXiv (Cornell University)
  • JAMA
  • Journal of Official Statistics
  • Statistics in Medicine
  • The Annals of Applied Statistics

Roderick J. A. Little has received notable recognition including being named a Fellow of the American Academy of Arts and Sciences in 2010 and receiving the Samuel S. Wilks Memorial Award from the American Statistical Association in 2005.

Best Publications

  • Statistical Analysis with Missing Data

    Roderick J A Little;Donald B Rubin

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

    Roderick J. A. Little;Donald B. Rubin

  • A Test of Missing Completely at Random for Multivariate Data with Missing Values

    Roderick J. A. Little

  • Redefine statistical significance

    Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek

  • Statistical Analysis with Missing Data, Second Edition

    Roderick Little;Donald Rubin

  • Modeling the Drop-Out Mechanism in Repeated-Measures Studies

    Roderick J. A. Little

  • The Prevention and Treatment of Missing Data in Clinical Trials

    Roderick J. Little;Ralph D'Agostino;Michael L. Cohen;Kay Dickersin

  • Regression with missing X’s: A review

    Roderick J. A. Little

  • Robust Statistical Modeling Using the t Distribution

    Kenneth L. Lange;Roderick J. A. Little;Jeremy M. G. Taylor

  • The Analysis of Social Science Data with Missing Values

    Roderick J. A. Little;Donald B. Rubin

  • Missing-Data Adjustments in Large Surveys

    Roderick J. A. Little

  • A Review of Hot Deck Imputation for Survey Non-response.

    Rebecca R. Andridge;Roderick J. A. Little

  • Pattern-Mixture Models for Multivariate Incomplete Data

    Roderick J. A. Little

  • Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches.

    Roderick J. Little;Donald B. Rubin

  • Survey Nonresponse Adjustments for Estimates of Means

    Roderick J. A. Little

  • A Class of Pattern-Mixture Models for Normal Incomplete Data

    Roderick J. A. Little

  • Missing Values in Multivariate Analysis

    E. M. L. Beale;R. J. A. Little

  • Intent-to-treat analysis for longitudinal studies with drop-outs.

    Roderick Little;Linda Yau

  • Models for Nonresponse in Sample Surveys

    Roderick J. A. Little

  • A Theoretical Study of Some Maximum Likelihood Algorithms for Emission and Transmission Tomography

    Kenneth Lange;Mark Bahn;Roderick Little

  • Maximum likelihood estimation for mixed continuous and categorical data with missing values

    Roderick J. A. Little;Mark D. Schluchter

  • Web-based smoking-cessation programs: results of a randomized trial.

    Victor J. Strecher;Jennifer B. McClure;Gwen L. Alexander;Bibhas Chakraborty

Frequent Co-Authors

Donald B. Rubin
Donald B. Rubin Temple University
Sid Gilman
Sid Gilman University of Michigan–Ann Arbor
Robert A. Koeppe
Robert A. Koeppe University of Michigan–Ann Arbor
Larry Junck
Larry Junck University of Michigan–Ann Arbor
Ying Yuan
Ying Yuan The University of Texas MD Anderson Cancer Center
Bruno Giordani
Bruno Giordani University of Michigan–Ann Arbor
Xihong Lin
Xihong Lin Harvard University
Norman L. Foster
Norman L. Foster University of Utah
Kirk A. Frey
Kirk A. Frey University of Michigan–Ann Arbor
Brady T. West
Brady T. West University of Michigan–Ann Arbor

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