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Reagan Mozer

Assistant Professor, Mathematical Sciences
Ph.D., Harvard University, 2019
Master of Arts, Harvard University, 2016
Bachelor of Science, University of Southern California, 2014
Office: Morison Hall 337 | 781.891._2267 | rmozer@bentley.edu
                       


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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.

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

Professional Links

http://reaganmozer.com

Publications

Journal Article(s)
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.

Book Chapters
Mozer, R, Rubin, D. B, Zubizarreta, J. R. (2019). Statistical Inference for Causal Effects in Clinical Psychology: Fundamental Concepts and Analytical Approaches.. Handbook of Research Methods in Clinical Psychology. (pp. 415–425). Cambridge University Press

Mozer, R, Kessels, R, Rubin, D. B. (2017). Disentangling Treatment and Placebo Effects in Randomized Experiments Using Principal Stratification—An Introduction. The Annual Meeting of the Psychometric Society (pp. 11-23)

Other(s)
Mozer, R, Miratrix, L, Kaufman, A, Anastasopoulos, J. (2019). Replication Data for: Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality. Harvard Dataverse, 1 (link)

Conference Presentations

Mozer, R. (2020). Presented at the American Statistical Association's International Conference on Health Policy Statistics, San Diego, CA.

Mozer, R. (2020). Presented at the New England Statistical Society's NextGen Data Science Day.

Mozer, R. (2020). "Recent Adventures in Quantitative Analysis of Text Data."

Mozer, R. (2019). Presented at the Stanford University's New Directions in Analyzing Text as Data, Stanford, CA.

Mozer, R. (2019). "Challenges in Data Science." Presented at the New England Statistics Symposium's Data Science Day, Waltham, MA.

Service

Department Service
Committee Member for Social Committee, 2019 - Present

Professional Service
Reviewer, Journal Article for Journal of Educational and Behavioral Statistics, 2020 - Present
Reviewer, Journal Article for Journal of Research on Educational Effectiveness, 2020 - Present
Reviewer, Journal Article for Biostatistics, 2019 - Present
Reviewer, Journal Article for Journal of the Royal Statistical Society, Series B, 2019 - Present