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