MAY 13 – 16, 2025 Detroit
| 12886-P | Sharp bounds on the variance of general regression adjustment in randomized experiments | Jonas Mikhaeil | |
| 12944-P | Productivity and AI Tools: a causal analysis | Sarah Brodbeck | |
| 12963-P | Berry-Esseen-Type Bound for Nonparametric Average Treatment Effect Estimator in Randomized Trials | Hongxiang Qiu | |
| 12968-P | Causal subgroup discovery with error control | Yao Zhang | |
| 13143-P | Causal Mediation and Functional Outcome Analysis with Process Data | Youmi Suk | |
| 13180-P | Semiparametric principal stratification analysis without monotonicity | Jiaqi Tong | |
| 13235-P | Estimating effects of longitudinal modified treatment policies (LMTPs) on rates of change in health outcomes with repeated measures data | Anja Shahu | |
| 13271-P | Randomization Tests for Distributions of Individual Treatment Effects using Multiple Rank Statistics | David Kim | |
| 13354-P | Generalizing Causal Effects with Noncompliance | Zhongren Chen | |
| 13383-P | Modern causal inference approaches to improve power for subgroup analysis in randomized clinical trials | Antonio DAlessandro | |
| 13398-P | Estimating subgroup effects of prenatal opioid exposure across levels of baseline risk factors | Andy Shen | |
| 13438-P | Sensitivity of weighted least squares estimators to omitted variables | Leonard Wainstein | |
| 13477-P | Two-Stage Nuisance Function Estimation for Causal Mediation Analysis | Chang Liu | |
| 13521-P | Scaling-Up Experiments in Centralized Markets | Wisse Rutgers | |
| 13584-P | Guidance on Individualized Treatment Rule Estimation in High Dimensions | Philippe Boileau | |
| 13630-P | Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters | Abhinandan Dalal | |
| 13667-P | Structural Nested Models in Target Trial Emulation | Fuyu Guo | |
| 13672-P | Estimating the Effects of Roe v. Wade Being Overturned on State-Level Abortion Rates | Flavia Jiang | |
| 13710-P | A Large Clinical Behavioral Model: an approach to deep causal policy learning | Jonas Knecht | |
| 13787-P | Doubly robust conformal prediction for missing data | Manit Paul | |
| 13818-P | Optimal Design-based Combination of Expert and Imperfect Annotations for Robust Causal Inference from Text Data | Angela Zhou | |
| 13865-P | A Meta-learner for Heterogeneous Effects in DiD and General Conditional Functionals Under Covariate Shift | Hui Lan | |
| 14034-P | Conformal causal inference for cluster randomized trials | Bingkai Wang | |
| 14050-P | Distributionally Equivalent Urns for the Truncation by Death Problem | Jaffer Zaidi | |
| 15466-P | Graphical Criteria of Recoverability under Not Missing at Random Case | Jiwoo Kim | |
MAY 13 – 16, 2025 Detroit

Digital Object Identifier. Official code used to identify documents published on internet; similar to ISBN for books. You may use this code to reference your poster in future scientific publications or CVs. It can be found from anywhere in the world. To find the poster page, log onto www.medra.org and enter the DOI, or enter in your internet browser https://dx.doi.org/ followed by the DOI string asigned to your congress. |
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