World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
51
Citations
14157
World Ranking
1000
National Ranking
462

Research.com Recognitions

  • 2013 - Fellow of the American Statistical Association (ASA)

Overview

Dylan S. Small is affiliated with the University of Pennsylvania in the United States. Their research spans the intersection of Medicine and Mathematics, with a particular focus on Statistics and Probability alongside applications in Public Health, Environmental and Occupational Health, and Economics and Econometrics.

The scientist's work covers a variety of subfields, emphasizing the areas of Epidemiology and General Health Professions. Their core research topics include Advanced Causal Inference Techniques, Statistical Methods and Inference, and Statistical Methods and Bayesian Inference. Other notable research interests include Statistical Methods in Clinical Trials, Physical Activity and Health, Malaria Research and Control, and Health Systems, Economic Evaluations, and Quality of Life.

Throughout their career, Dylan S. Small has published extensively in several venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • JAMA Network Open
  • Journal of the American Statistical Association
  • Biometrics
  • The Annals of Applied Statistics

Some of their recent notable papers, including publication year and venue, are:

  • "Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score," 2020, The Annals of Statistics
  • "Effect of Integrating Machine Learning Mortality Estimates With Behavioral Nudges to Clinicians on Serious Illness Conversations Among Patients With Cancer," 2020, JAMA Oncology
  • "Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments," 2021, PLoS Genetics
  • "Long-term Effect of Machine Learning-Triggered Behavioral Nudges on Serious Illness Conversations and End-of-Life Outcomes Among Patients With Cancer," 2023, JAMA Oncology
  • "Spending And Quality After Three Years Of Medicare's Voluntary Bundled Payment For Joint Replacement Surgery," 2020, Health Affairs

Dylan S. Small has collaborated frequently with several coauthors. The most prominent coauthors include Mitesh S. Patel, Ting Ye, Kevin G. Volpp, Charles A. L. Rareshide, and Siyu Heng.

In recognition of contributions to the field, they were awarded Fellow status by the American Statistical Association (ASA) in 2013.

Best Publications

  • A review of instrumental variable estimators for Mendelian randomization

    Stephen Burgess;Dylan S Small;Simon Gregory Thompson

  • Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score

    Qingyuan Zhao;Jingshu Wang;Gibran Hemani;Jack Bowden

  • Instrumental variable methods for causal inference

    Michael Baiocchi;Jing Cheng;Dylan S. Small

  • Randomized Trial of Four Financial-Incentive Programs for Smoking Cessation

    Scott D. Halpern;Benjamin French;Dylan S. Small;Kathryn Saulsgiver

  • Randomized trial of four financial-incentive programs for smoking cessation.

    Scott D Halpern;Benjamin French;Dylan S Small;Kathryn Saulsgiver

  • The use of bootstrapping when using propensity-score matching without replacement: a simulation study

    Peter C. Austin;Peter C. Austin;Dylan S. Small

  • Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization

    Hyunseung Kang;Anru Zhang;T. Tony Cai;Dylan S. Small

  • Framing Financial Incentives to Increase Physical Activity Among Overweight and Obese Adults: A Randomized, Controlled Trial

    Mitesh S. Patel;David A. Asch;Roy Rosin;Dylan S. Small

  • The Differential Impact of Delivery Hospital on the Outcomes of Premature Infants

    Scott A. Lorch;Michael Baiocchi;Michael Baiocchi;Corinne E. Ahlberg;Dylan S. Small;Dylan S. Small

  • A Randomized Trial of Nighttime Physician Staffing in an Intensive Care Unit

    Meeta Prasad Kerlin;Dylan S. Small;Elizabeth Cooney;Barry D. Fuchs

  • Effect of a Game-Based Intervention Designed to Enhance Social Incentives to Increase Physical Activity Among Families: The BE FIT Randomized Clinical Trial.

    Mitesh S. Patel;Emelia J. Benjamin;Kevin G. Volpp;Caroline S. Fox

  • Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomization.

    Qingyuan Zhao;Yang Chen;Jingshu Wang;Dylan S Small

  • A Randomized Trial of Nighttime Physician Staffing in an Intensive Care Unit

    Meeta Prasad Kerlin;Dylan S Small;Elizabeth Cooney;Barry D Fuchs

  • Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants

    Mike Baiocchi;Dylan S. Small;Scott Lorch;Paul R. Rosenbaum

  • Nonparametric methods for doubly robust estimation of continuous treatment effects

    Edward H. Kennedy;Zongming Ma;Matthew D. McHugh;Dylan S. Small

  • Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score

    Qingyuan Zhao;Jingshu Wang;Gibran Hemani;Jack Bowden

  • Outcomes and Statistical Power in Adult Critical Care Randomized Trials

    Michael O. Harhay;Jason Wagner;Sarah J. Ratcliffe;Rachel S. Bronheim

  • Predicting Customer Value Using Clumpiness: From RFM to RFMC

    Yao Zhang;Eric T. Bradlow;Dylan S. Small

  • Effect of Integrating Machine Learning Mortality Estimates With Behavioral Nudges to Clinicians on Serious Illness Conversations Among Patients With Cancer: A Stepped-Wedge Cluster Randomized Clinical Trial.

    Christopher R Manz;Ravi B Parikh;Ravi B Parikh;Dylan S Small;Chalanda N Evans

  • Sensitivity Analysis for Instrumental Variables Regression With Overidentifying Restrictions

    Dylan S Small

  • Effectiveness of Behaviorally Designed Gamification Interventions With Social Incentives for Increasing Physical Activity Among Overweight and Obese Adults Across the United States: The STEP UP Randomized Clinical Trial

    Mitesh S Patel;Dylan S Small;Joseph D Harrison;Michael P Fortunato

  • War and Wages : The Strength of Instrumental Variables and Their Sensitivity to Unobserved Biases

    Dylan S Small;Paul R Rosenbaum

  • Individual Versus Team-Based Financial Incentives to Increase Physical Activity: A Randomized, Controlled Trial.

    Mitesh S. Patel;Mitesh S. Patel;David A. Asch;David A. Asch;Roy Rosin;Dylan S. Small

  • Bounds on causal effects in three-arm trials with non-compliance

    Jing Cheng;Dylan S. Small

Frequent Co-Authors

Paul R. Rosenbaum
Paul R. Rosenbaum University of Pennsylvania
Kevin G. Volpp
Kevin G. Volpp University of Pennsylvania
David A. Asch
David A. Asch University of Pennsylvania
Tommaso Cai
Tommaso Cai University of Pennsylvania
Luke Keele
Luke Keele University of Pennsylvania
David F. Dinges
David F. Dinges University of Pennsylvania
Michael J. Levy
Michael J. Levy Harvard Medical School
Judy A. Shea
Judy A. Shea University of Pennsylvania
Andrea B. Troxel
Andrea B. Troxel New York University
George Loewenstein
George Loewenstein Carnegie Mellon University

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