Huiyuan Wang
9 appearances in the program
Sessions & presentations
Causal Inference in Clinical Trials: Bridging Theory and Practice
Co-Author
Presentation: Causal Inference with Transfer Learning: Calibrating Treatment Effects via Distributional NCOs
Contributed Papers · Thu, Aug 7 , 8:30 AM
Denoising and Enhancing Data Analysis: Capturing True Signals and Addressing Errors with Advanced Statistical Approaches
Co-Author
Presentation: Robusify p-value Calibration in Observational Studies with Partially Valid Negative Control Outcomes
Contributed Papers · Sun, Aug 3 , 4:00 PM
Advances in Statistical Inference
Co-Author
Presentation: Efficient Semiparametric Inference for Distributed Data with Blockwise Missingness
Contributed Papers · Mon, Aug 4 , 2:00 PM
Structure Learning and Dimension Reduction
Co-Author
Presentation: Federated multimodal learning with heterogeneous modality and distribution shift
Contributed Papers · Sun, Aug 3 , 4:00 PM
The Evolving Landscape of External Controls and Digital Twins: Current State and Future Directions
Speaker
Presentation: Calibrated Digital Twins: Improving RCT Analysis with Distributionally Shifted RWD
Topic-Contributed Paper Session · Thu, Aug 7 , 8:30 AM
Causal Inferences and Robust Estimators
Co-Author
Presentation: Dual Role for Negative Control Outcomes: Improving Validity and Efficiency in Observational Studies
Contributed Papers · Tue, Aug 5 , 8:30 AM
Treatment Effect Estimation and Experimental Designs
First Author
Presentation: Distributional Negative Control Outcome Framework for Calibration of Unmeasured Confounders
Contributed Papers · Mon, Aug 4 , 2:00 PM
Treatment Effect Estimation and Experimental Designs
Presenting Author
Presentation: Distributional Negative Control Outcome Framework for Calibration of Unmeasured Confounders
Contributed Papers · Mon, Aug 4 , 2:00 PM
Measurement error and missing data problems
Co-Author
Presentation: Surrogate-powered Regularized Estimation: Semi-Supervised Modeling with Multi-Wave Sampling
Contributed Papers · Tue, Aug 5 , 10:30 AM