Research
Working papers / pre-prints
Bavli, H. J. and Mozer, R. The Evidence on Character Evidence in Jury Trials: Findings from a Randomized Controlled Trial. Working paper
Guo, G., Branson, Z., and Mozer, R. Doubly robust causal inference with text-based confounding: An application to gender disparities in online forums. Working paper
Hsin, L., Al-Adeimi, S., Mozer, R., Miratrix, L., and Kim, Y. Improving Writing Without Teaching It: Impacts and Demographic Variation in Adolescents’ Writing Following a Discussion-Based Academic Language Intervention. Paper in progress
Under review
Ledley, F. D. and Mozer, R. (2026). Trends in NIH funding for pediatric research FY2020-FY2026. JAMA Pediatrics (Under review)
Mozer, R. (2026). PPI is the difference estimator: Recognizing the survey sampling roots of prediction-powered inference. arXiv preprint arXiv:2603.19160
Mozer, R., Pashley, N. E., and Miratrix, L. (2026). Stratified sampling for model-assisted estimation with surrogate outcomes. arXiv preprint arXiv:2602.12992
Rupcic, S., Jasuja, G. K., Mozer, R., Xu, C., Anderson, E., Bokhour, B. G., Boudreau, J. H., DeLaughter, K. L., Douglas, J. H., Dryden, E., Gifford, A. L., Hyde, J., Tam, M. Z., Zeliadt, S. B., and Fix, G. M. (2025). A Retrospective Analysis of Person-Centered, Whole Health Use Among People Living with HIV. Medical Care (Under review)
Mozer, R., Kaufman, A. R., Celi, L. A., and Miratrix, L. Leveraging text data for causal inference using electronic health records: Investigating the efficacy of transthoracic echocardiography for sepsis. Journal of the American Statistical Association (Under review). arXiv preprint arXiv:2307.03687
Kim, Y., Mozer, R., Miratrix, L., and Al-Adeimi, S. ChatGPT vs. Linear Regression: Assessing the Efficacy and Accuracy of Large Language Models for Automated Essay Scoring. International Journal of Artificial Intelligence in Education (Under review). EdWorkingPaper: 25-1335
Publications
Mozer, R. and 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(1):440–464
Rupcic, S., Tam, M. Z., DeLaughter, K. L., Gifford, A. L., Barker, A. M., Bokhour, B. G., Xu, C., Dryden, E., Anderson, E., Jasuja, G. K., Boudreau, J., Douglas, J. H., Hyde, J., Mozer, R., Zeliadt, S. B., and Fix, G. M. (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):1306
Mozer, R., Miratrix, L., Relyea, J. E., and Kim, J. S. (2024). Combining human and automated scoring methods in experimental assessments of writing: A case study tutorial. Journal of Educational and Behavioral Statistics, 49(5):780–816
[Replication] 
[Data]Mozer, R. and Glickman, M. E. (2023). Bayesian analysis of longitudinal studies with treatment by indication. Health Services and Outcomes Research Methodology, 23(4):468–491
[Replication]Anderson, E., Dvorin, K., Etingen, B., Barker, A. M., Rai, Z., Herbst, A. N., Mozer, R., Kingston, R. P., and Bokhour, B. G. (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):2548–2556
Rahman, N., Mozer, R., McHugh, R. K., Rockett, I. R., Chow, C. M., and 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., Barker, A., Herbst, A., Bowen, M., Etingen, B., Mozer, R., Kingston, R., and Bokhour, B. (2022). Lessons learned from VHAs rapid implementation of virtual whole health peer–led groups during the COVID–19 pandemic: Staff perspectives. Global Advances in Health and Medicine, 11:1–12
Mozer, R., Miratrix, L., Kaufman, A. R., and Anastasopoulos, L. 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
[Data/Replication]Mozer, R., Rubin, D. B., and Zubizarreta, J. R. (2020). Statistical inference for causal effects in clinical psychology: Fundamental concepts and analytical approaches. In Wright, A. C. and Halquist, M. N., editors, The Cambridge Handbook of Research Methods in Clinical Psychology, chapter 31, pages 415–425. Cambridge University Press, Cambridge, UK
Bavli, H. J. and Mozer, R. (2019). 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)
Kessels, R., Mozer, R., and Bloemers, J. (2019). Methods for assessing and controlling placebo effects. Statistical Methods in Medical Research, 28(4):1141–1156
Mozer, R., Kessels, R., and Rubin, D. B. (2017). Disentangling treatment and placebo effects in randomized experiments using principal stratification: an introduction. In The Annual Meeting of the Psychometric Society, pages 11–23. Springer