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Raymond J. Carroll

Raymond J. Carroll

Award Badge
Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
115
Citations
54601
World Ranking
23
National Ranking
17

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
  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1988 - COPSS Presidents' Award
  • 1982 - Fellow of the American Statistical Association (ASA)

Overview

Raymond J. Carroll is affiliated with Texas A&M University in the United States. The research focus spans multiple core fields, primarily Mathematics and Medicine. Their notable subfields include Statistics and Probability, Public Health, Environmental and Occupational Health, Molecular Biology, Artificial Intelligence, and Genetics.

The scientist's research topics concentrate on Statistical Methods and Inference, Nutritional Studies and Diet, Advanced Causal Inference Techniques, Advanced Statistical Methods and Models, Statistical Methods and Bayesian Inference, Statistical Methods in Clinical Trials, and issues related to Obesity, Physical Activity, and Diet.

Recent papers authored or co-authored by Raymond J. Carroll include:

  • STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1-Basic theory and simple methods of adjustment, 2020, published in Statistics in Medicine
  • STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2-More complex methods of adjustment and advanced topics, 2020, published in Statistics in Medicine
  • Evaluation of Missing Value Estimation for Microarray Data, 2021, published in Journal of Data Science
  • Trends in Overall and Micronutrient-Containing Dietary Supplement Use in US Adults and Children, NHANES 2007-2018, 2022, published in Journal of Nutrition
  • A narrative review of nutrient based indexes to assess diet quality and the proposed total nutrient index that reflects total dietary exposures, 2021, published in Critical Reviews in Food Science and Nutrition

Frequent co-authors in their work include:

  • Janet A. Tooze
  • Kevin W. Dodd
  • Victor Kipnis
  • Jaime Gahche
  • Johanna Dwyer

The scientist publishes often in venues such as:

  • arXiv (Cornell University)
  • Biometrics
  • The International Journal of Biostatistics
  • UNC Libraries
  • Statistics in Medicine

Raymond J. Carroll has been recognized by several awards, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2013
  • COPSS Presidents' Award, 1988
  • Fellow of the American Statistical Association (ASA), 1982

Best Publications

  • Measurement error in nonlinear models: a modern perspective

    Raymond J. Carroll

  • Semiparametric Regression: Example Index

    David Ruppert;M. P. Wand;R. J. Carroll

  • Transformation and Weighting in Regression

    R. J. Carroll;D. Ruppert

  • Measurement Error in Nonlinear Models

    Raymond J. Carroll;David Ruppert;Leonard A. Stefanski

  • Generalized Partially Linear Single-Index Models

    R. J. Carroll;Jianqing Fan;Irène Gijbels;M. P. Wand

  • The Healthy Eating Index-2010 Is a Valid and Reliable Measure of Diet Quality According to the 2010 Dietary Guidelines for Americans

    Patricia M. Guenther;Sharon I. Kirkpatrick;Jill Reedy;Susan M. Krebs-Smith

  • Variance Function Estimation

    Marie Davidian;Raymond J. Carroll

  • Estimation and Comparison of Changes in the Presence of Information Right Censoring by Modeling the Censoring Process.

    Margaret C. Wu;Raymond J. Carroll

  • Optimal Rates of Convergence for Deconvolving a Density

    Raymond J. Carroll;Peter Hall

  • A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution.

    Janet A. Tooze;Douglas Midthune;Kevin W. Dodd;Laurence S. Freedman

  • Deconvolving kernel density estimators

    Leonard A. Stefanski;Raymond J. Carroll

  • A Note on the Efficiency of Sandwich Covariance Matrix Estimation

    Göran Kauermann;Raymond J Carroll

  • Trimmed Least Squares Estimation in the Linear Model

    David Ruppert;Raymond J. Carroll

  • Signal-to-noise ratios, performance criteria, and transformations

    George Box;Anne C. Shoemaker;Kwok-Leung Tsui;Ramon V. León

  • Defective prohormone processing and altered pancreatic islet morphology in mice lacking active SPC2

    Machi Furuta;Hideki Yano;An Zhou;Yves Rouillé

  • A Note on Computing Robust Regression Estimates via Iteratively Reweighted Least Squares

    James O. Street;Raymond J. Carroll;David Ruppert

  • A mixed-effects model approach for estimating the distribution of usual intake of nutrients: The NCI method

    Janet A. Tooze;Victor Kipnis;Dennis W. Buckman;Raymond J. Carroll

  • Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition

    Raymond J. Carroll;David Ruppert;Leonard A. Stefanski;Ciprian M. Crainiceanu

  • Analyzing incomplete longitudinal clinical trial data

    Geert Molenberghs;Herbert Thijs;Ivy Jansen;Caroline Beunckens

  • Deconvoluting kernel density estimators

    Leonard A. Stefanski;Raymond J. Carroll

  • Semiparametric Regression: Preface

    David Ruppert;M. P. Wand;R. J. Carroll

Frequent Co-Authors

David Ruppert
David Ruppert Cornell University
Robert S. Chapkin
Robert S. Chapkin Texas A&M University
Joanne R. Lupton
Joanne R. Lupton Texas A&M University
Matt P. Wand
Matt P. Wand University of Technology Sydney
Leonard A. Stefanski
Leonard A. Stefanski North Carolina State University
Bani K. Mallick
Bani K. Mallick Texas A&M University
Donald F. Steiner
Donald F. Steiner University of Chicago
Xihong Lin
Xihong Lin Harvard University
Amy F. Subar
Amy F. Subar National Cancer Institute
Guoyao Wu
Guoyao Wu Texas A&M University

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