Please see my Google Scholar profile and CV for a full list of publications and preprints.

Articles in Refereed Journals

• Evan T. R. Rosenman, Karthik Rajkumar, Romain Gauriot, and Robert Slonim. "Donor's Deferral and Return Behavior: Partial Identification from a Regression Discontinuity Design with Manipulation." Journal of Political Economy Microeconomics. To appear in print in 2027. (full text)

• Evan T. R. Rosenman. "Methods for Combining Observational and Experimental Causal Estimates: A Review." Wiley Interdisciplinary Reviews: Computational Statistics, 17(2), e70027. 2025.(full text)

• Clea Sarnquist, Rina Friedberg, Evan T. R. Rosenman, Mary Amuyunzu-Nyamongo, Gavin Nyairo, and Mike Baiocchi. "Sexual Assault Among Young Adolescents in Informal Settlements in Nairobi, Kenya: Findings from the IMPower and SOS Cluster-Randomized Controlled Trial." Prevention Science, 25(4), 578-589. 2024. (full text)

• Evan T. R. Rosenman and Luke Miratrix. "Designing Experiments Toward Shrinkage Estimation." Electronic Journal of Statistics, 17(2), 3406-3442. 2023. (full text)

• Evan T. R. Rosenman, Santiago Olivella, and Kosuke Imai. "Race and Ethnicity Data for First, Middle, and Last Names." Nature: Scientific Data, 10(1), 299. 2023. (full text)

• Evan T. R. Rosenman, Rina Friedberg, and Mike Baiocchi. "Robust Designs for Prospective Randomized Trials Surveying Sensitive Topics." American Journal of Epidemiology, 192(5), 812-820. 2023. (full text)

• Evan T. R. Rosenman, Guillaume Basse, Art Owen, and Mike Baiocchi. "Combining Observational and Experimental Datasets Using Shrinkage Estimators." Biometrics, 79(4), 2961-2973. 2023. (full text)

• Christopher Kenny, Shiro Kuriwaki, Cory McCartan, Evan T. R. Rosenman, Tyler Simko, and Kosuke Imai. "Comment: The Essential Role of Policy Evaluation for the 2020 Census Disclosure Avoidance System." Harvard Data Science Review, Special Issue 2. 2023. (full text)

• Rina Friedberg, Mike Baiocchi, Evan T. R. Rosenman, Mary Amuyunzu-Nyamongo, Gavin Nyairo, and Clea Sarnquist. "Mental Health and Gender-Based Violence: An Exploration of Depression, PTSD, and Anxiety Among Adolescents in Kenyan Informal Settlements Participating in an Empowerment Intervention." PLOS One, 18(3), e0281800. 2023. (full text)

• Evan T. R. Rosenman, Cory McCartan, and Santiago Olivella. "Recalibration of Predicted Probabilities Using the Logit Shift: Why Does It Work, and When Can It Be Expected to Work Well?" Political Analysis, 31(4), 651-661. 2023. (full text)

• Kosuke Imai, Santiago Olivella, and Evan T. R. Rosenman. "Addressing Census Data Problems in Race Imputation via Fully Bayesian Improved Surname Geocoding and Name Supplements." Science Advances, 8(49), eadc9824. 2022. (full text)

• Evan T. R. Rosenman, Art Owen, Mike Baiocchi, and Hailey Banack. "Propensity Score Methods for Merging Observational and Experimental Datasets." Statistics in Medicine, 41(1), 65-86. 2022. (full text)

• Christopher Kenny, Shiro Kuriwaki, Cory McCartan, Evan T. R. Rosenman, Tyler Simko, and Kosuke Imai. "The Use of Differential Privacy for Census Data and Its Impact on Redistricting: The Case of the 2020 US Census." Science Advances, 7(41), eabk3283. 2021. (full text)

• Evan T. R. Rosenman and Art Owen. "Designing Experiments Informed by Observational Studies." Journal of Causal Inference, 9(1), 147-171. 2021. (full text)

• Evan T. R. Rosenman, Clea Sarnquist, Rina Friedberg, Mary Amuyunzu-Nyamongo, Gabriel Oguda, Dorothy Otieno, and Mike Baiocchi. "Empirical Insights for Improving Sexual Assault Prevention: Evidence from Baseline Data for a Cluster-Randomized Trial of IMPower and SoS." Violence Against Women, 26(15-16), 1855-1875. 2020. (full text)

• Mike Baiocchi, Rina Friedberg, Evan T. R. Rosenman, Mary Amuyunzu-Nyamongo, Gabriel Oguda, Dorothy Otieno, and Clea Sarnquist. "Prevalence and Risk Factors for Sexual Assault Among Class 6 Female Students in Unplanned Settlements of Nairobi, Kenya: Baseline Analysis from the IMPower & Sources of Strength Cluster Randomized Controlled Trial." PLOS One, 14(6), e0213359. 2019. (full text)

Workshop Papers

• Nic Fishman and Evan T. R. Rosenman. "Estimating Vote Choice in U.S. Elections with Approximate Poisson-Binomial Logistic Regression." NeurIPS Optimization for Machine Learning Workshop. 2024. (full text)

Working Papers

• Evan T. R. Rosenman and Kristen Hunter. "Adaptive Experimental Design Using Shrinkage Estimators." 2026. (arXiv)

• Evan T. R. Rosenman, Francesca Dominici, and Luke Miratrix. "Empirical Bayes Double Shrinkage for Combining Biased and Unbiased Causal Estimates." 2023. (arXiv)

• Joshua Kravitz and Evan T. R. Rosenman. "Scaling Relational Organizing on Jon Ossoff's Campaign for U.S. Senate: Analysis of Program Impact and Key Takeaways." White paper at the Analyst Group. 2021.

• Evan T. R. Rosenman. "Some New Results for Poisson Binomial Models." 2019. (arXiv)

• Evan T. R. Rosenman and Nitin Viswanathan. "Using Poisson Binomial GLMs to Reveal Voter Preferences." 2018. (arXiv)

Open-Source Software

• Karthik Rajkumar and Evan T. R. Rosenman. rdPartial: Partial Identification Bounds for Regression Discontinuity Designs. (GitHub)

• Kabir Khanna, Kosuke Imai, Evan T. R. Rosenman, and Santiago Olivella. wru: Who are You? Bayesian Prediction of Racial Category Using Surname and Geolocation. 2021. (GitHub)