Published / Accepted

Reagan Mozer, Luke Miratrix, Aaron Russell Kaufman, and L. Jason Anastasopoulos (2019). "Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality". Forthcoming at Political Analysis.

Hillel Bavli and Reagan Mozer (2019). "The Effects of Comparable-Case Guidance on Awards for Pain and Suffering and Punitive Damages: Evidence from a Randomized Controlled Trial". Volume 37. Yale Law and Policy Review. 405.

Reagan Mozer, Donald B. Rubin, and Jose R. Zubizarreta (2019). "Statistical Inference for Causal Effects in Clinical Psychology: Fundamental Concepts and Analytical Approaches." Handbook of Research Methods in Clinical Psychology. Cambridge University Press.

Reagan Mozer, Rob Kessels, and Donald B. Rubin (2018). "Disentangling Treatment and Placebo Effects in Randomized Experiments Using Principal Stratification." Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017. New York: Springer.

Rob Kessels, Reagan Mozer, and Jos Bloemers (2017). "Methods for Assessing and Controlling Placebo Effects.Statistical Methods in Medical Research.


Reagan Mozer and Mark Glickman. "Estimating the Effects of Medical Interventions: A Framework for the Design and Analysis of Longitudinal Studies with Treatment by Indication." Preprint available at arXiv:1909.06432

In Progress

Reagan Mozer, Aaron Russell Kaufman, and Luke Miratrix. "Using Text Data to Improve Causal Analyses in Medical Research."

Reagan Mozer and Fabrizia Mealli. "Causal Inference with Complex Data: A Guide for the Modern Statistician."

Reagan Mozer, Zach Branson, Emma Dwight, Zhiwei Kou, and Luke Miratrix, "Assessing Gender Disparities in Textual Response on"


Reagan Mozer and Donald B. Rubin. "Evaluating PML Risk for Multiple Sclerosis Patients Receiving Tysabri". Manuscript upon request.

Brenda Osuna and Reagan Rose (2013). "Applying Quantitative Content Analysis and Factor Scoring: Comparison of Pre- and Post-9/11 Song Lyrics." In JSM Proceedings, Statistical Computing Section.


textmatchR package for matching text documents and performing quality/balance assessments in studies where covariates and/or outcomes are defined by aspects of text
(under development, anticipated release date: December, 2018)