SOCIETY FOR CASUAL INFERENCE

The 2025 American Causual Inference Conference

 

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

 

MAY 13 – 16, 2025 Detroit
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