Reagan Mozer

Reagan Mozer

  • Associate Professor and Director of CADS, Mathematical Sciences
  • Ph.D. in Statistics, Harvard University
  • Master of Arts in Statistics, Harvard University
  • Bachelor of Science in Applied and Computational Mathematics, University of Southern California

Teaching Interests

Multivariate statistics, Bayesian statistics, causal inference, experimental design, data science and machine learning

Research Interests

Causal inference, design of experiments, methods for analyzing text as data, longitudinal data analysi, and sapplied statistics in education research and health services research

Consulting/Practice Interests

Design and analysis of randomized experiments and observational studies for causal inference, applications involving text as data

Bio

Dr. Reagan Mozer is an applied statistician whose research focuses on the development and application of methods for causal inference with complex data, including text data, randomized experiments complicated by issues such as non-compliance, and observational studies with time-varying treatments.

Professional Memberships

  • Association for Public Policy Analysis & Management 2022-01-01 - Present
  • Society for Causal Inference 2022-01-01 - Present
  • Society for Research on Educational Effectiveness 2022-01-01 - Present
  • American Statistical Association 2019-01-01 - Present
  • Association for Computational Linguistics 2019-01-01 - Present
  • The Society for Political Methodology 2019-01-01 - Present

    • Awards and Honors

  • Outstanding Scholarly Contribution Award, Bentley University
  • Miller Prize, The Society for Political Methodology
  • Gregory J. Hall Award, Bentley University

    • Scholarly Contributions and Creative Productions

    Journal Articles

  • Mozer, R., Miratrix, L. (2025). MORE POWER TO YOU: USING MACHINE LEARNING TO AUGMENT HUMAN CODING FOR MORE EFFICIENT INFERENCE IN TEXT-BASED RANDOMIZED TRIALS. Annals of Applied Statistics, (19) Issue 1 (Link)
  • Mozer, R. (2024). Co-designing a blueprint for spreading person-centered, Whole Health care to HIV specialty care settings: a mixed methods protocol. BMC Health Services Research, (24) 1 (Link)
  • Mozer, R., Miratrix, L., Relyea, J., Kim, J. (2024). Combining Human and Automated Scoring Methods in Experimental Assessments of Writing: A Case Study Tutorial. Journal of Educational and Behavioral Statistics, (49) Issue 5 (Link)
  • Mozer, R., Glickman, M. (2023). Bayesian analysis of longitudinal studies with treatment by indication. Health Services and Outcomes Research Methodology, (23) Issue 4 (Link)
  • Anderson, E., Dvorin, K., Etingen, B., Barker, A., Rai, ., Herbst, A., Mozer, R., Kingston, R. P., Bokhour, B. (2022). “It Makes You Sit Back and Think Where You Wanna Go”: Veteran Experiences in Virtual Whole Health Peer-led Groups. Health Expectations, (25) 5 2548-2566.
  • Rahman, N., Mozer, R., McHugh, K., Rockett, I., Chow, C. M., Vaughan, G. (2022). Using Natural Language Processing to Improve Suicide Classification Requires Consideration of Race. Suicide and Life Threatening Behavior, (52) 4 782-791.
  • Anderson, E., Dvorin, K., Etingen, B., Barker, A., Rai, Z., Herbst, A., Mozer, R., Kingston, R., Bokhour, B. (2022). Lessons Learned From VHA’s Rapid Implementation of Virtual Whole Health Peer-Led Groups During the COVID-19 Pandemic: Staff Perspectives. Global Advances In Health and Medicine, (11) Issue (Link)
  • Mozer, R., Miratrix, L., Kaufman, A., Anastasopoulos, J. (2020). Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality. Political Analysis, (28) 4 445-468.
  • Kessels, R., Mozer, R., Bloemers, J. (2019). Methods for assessing and controlling placebo effects. Statistical methods in medical research, (28) 4 1141--1156.
  • Bavli, H. J., Mozer, R. (2018). The Effects of Comparable-Case Guidance on Awards for Pain and Suffering and Punitive Damages: Evidence from a Randomized Controlled Trial. Yale Law and Policy Review, (37) 405.
  • Bavli, H. J., Mozer, R. How Jurors Use Character Evidence in Verdict Determinations: Evidence from a Randomized Controlled Trial. (In Progress)
  • Mozer, R., Kaufman, A. R., Celi, L. A., Miratrix, L. Leveraging text data for causal inference using electronic health records. (Link)

    • Book Chapters

  • Mozer, R., Rubin, D., Zubizarreta, J. (2020). Statistical inference for causal effects in clinical psychology: Fundamental concepts and analytical approaches . Cambridge University Press (Link)
  • Mozer, R., Kessels, R., Rubin, D. B. (2017). Disentangling Treatment and Placebo Effects in Randomized Experiments Using Principal Stratification‚ÄîAn Introduction The Annual Meeting of the Psychometric Society.

    • Conference Proceedings

  • Mozer, R., Kessels, R., Rubin, D. (2018). “Disentangling treatment and placebo effects in randomized experiments using principal stratification—An introduction”

    • Presentations

  • Mozer, R. (2024). “Leveraging text data for causal inference using electronic health records” Presented at the Harvard University Department of Health Care Policy Design of Experimental & Non-Experimental Seminar Series Boston, MA
  • Mozer, R. (2024). “Statistical Innovation with Text as Data in Causal Inference Contexts: Emerging Trends and Future Directions” Presented at the American Statistical Association Joint Statistical Meetings Portland, OR
  • Mozer, R. (2024). “More power to you: Using machine learning to augment human coding for more efficient inference in text-based randomized trials” Presented at the Society for Causal Inference American Causal Inference Conference Seattle, WA
  • Mozer, R. (2024). “From Theory to Practice: Navigating the Path to Actionable AI Solutions” Presented at the Bentley University Bentley Global AI Summit Waltham, MA
  • Mozer, R. (2024). “Careers in Academia: A Panel Discussion by NESS NextGen” Presented at the New England Statistical Society New England Statistics Symposium Storrs, CT
  • Mozer, R. (2024). “More power to you: A model-assisted approach for more efficient causal inference in text-based experiments” Presented at the Bentley University Mathematical Sciences Research Seminar Waltham, MA
  • Mozer, R. (2024). “Matching with Text Data Methods for matching text documents and measuring match quality in causal analyses” Presented at the European Cooperation in Science and Technology HiTEc Meeting on Complex Data in Econometrics and Statistics Limassol, Cyprus
  • Mozer, R. (2024). “Using machine learning to augment human coding for more efficient inference in text-based randomized trials” Presented at the Google Research Causal Inference Discussion Group New York, NY
  • Mozer, R. (2024). “Beyond Buzzwords: A Critical Look at Intersectionality in Data Analysis” Presented at the Bentley University MLK Day 2024 Waltham, MA
  • Mozer, R., Miratrix, L. (2023). “Using machine learning to decrease the human coding burden in randomized trials with text-based outcomes” Presented at the Institute of Mathematical Statistics International Conference on Statistics and Data Science Lisbon, Portugal
  • Mozer, R., Miratrix, L. (2023). “Decreasing the human coding burden in randomized trials with text-based outcomes via model-assisted impact analysis.” Presented at the New Directions in Analyzing Text as Data Amherst, MA
  • Mozer, R., Miratrix, L. (2023). “Using machine learning to decrease the human coding burden in randomized trials with text-based outcomes” Presented at the Society for Research on Educational Effectiveness SREE 2023 Conference Washington, DC
  • Mozer, R., Miratrix, L. (2023). “Using machine learning to decrease the human coding burden in randomized trials with text-based outcomes” Presented at the New England Statistical Society New England Statistics Symposium Boston, MA
  • Mozer, R., Miratrix, L., Kaufman, A., Celi, L. A. (2023). “Leveraging text data for causal inference using electronic health records” Presented at the Society for Causal Inference American Causal Inference Conference Austin, TX
  • Mozer, R. (2022). “Bridging human and machine scoring in experimental assessments of writing” Presented at the APPAM APPAM Fall Research Conference
  • Mozer, R. (2021). Presented at the Society for Research on Educational Effectiveness SREE 2021
  • Mozer, R. (2021). Presented at the Wellesley College Mathematics Department Colloquium
  • Mozer, R. (2020). Presented at the American Statistical Association International Conference on Health Policy Statistics San Diego, CA
  • Mozer, R. (2020). Presented at the New England Statistical Society NextGen Data Science Day
  • Mozer, R. (2019). “Challenges in Data Science” Presented at the New England Statistics Symposium Data Science Day Waltham, MA
  • Mozer, R. (2019). Presented at the Stanford University New Directions in Analyzing Text as Data Stanford, CA

    • Technology

  • (2019). Replication Data for: Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality

    • Service

    Service: Department

  • Committee Member for Center for Analytics and Data Science advisory board 2024-09-01 - Present
  • for Lecturer search committee 2024-09-01 - Present
  • Organizer/Presenter for Academic Spotlight Organizing Group 2023-10-01 - 2023-10-31
  • for Undergraduate curriculum committee 2021-09-01 - Present
  • for Tenure track search committee 2021-09-01 - 2022-03-31
  • for CADS Workshop Working Group 2021-01-01 - Present
  • Committee Member for Social Committee 2019-01-01 - 2021-12-31

    • Service: Professional

  • Editorial Review Board Member for Digital Health 2024-12-01 - Present
  • Editor (Associate), Journal for Nature Digital Medicine 2025-01-01 - Present
  • Committee Member for Award for Significant Contributions to Educational Measurement and Research Methodology Committee, Section 2 2024-06-01 - Present
  • Grant Proposal Peer Review Panelist for Institute of Education Sciences 2023-04-01 - 2023-05-31

    • Service: Ph.D. Advising

  • Supervisor 2025/01 - Present

    • Service: University

  • Committee Member for Academic Integrity Council 2023-08-01 - Present
  • Working group member for Equitable Return to Work PET Project Working Group 2023-01-01 - 2023-05-31
  • Faculty panelist for Academic Integrity Hearing Panel 2021-01-01 - Present