Yong Chen
18 appearances in the program
Sessions & presentations
Advanced Research in High Dimensional Regression
Co-Author
Presentation: Targeted Learning of Heterogeneous Sources by Informative Feature Sharing
Contributed Papers · Wed, Aug 6 , 8:30 AM
Latest Research Topics in High Dimensional Regression or Survival Analysis
Co-Author
Presentation: Likelihood-based Inference under Non-Convex Boundary Constraints
Contributed Papers · Thu, Aug 7 , 8:30 AM
Survival Analysis: Non-parametric, Machine Learning, and Measurement Error Latest Research
Co-Author
Presentation: When distributed learning meets heterogeneity: choice of methods for federated survival analysis
Contributed Papers · Wed, Aug 6 , 2:00 PM
Recent Developments and Innovative Methods for Indirect Treatment Comparisons in CER and HTA
Chair
Invited Paper Session · Thu, Aug 7 , 10:30 AM
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
Robust and Semiparametric Methods in Causal Inference and Treatment Effect Estimation
Co-Author
Presentation: Collaborative Indirect Treatment Comparisons with Multiple Distributed Single-arm Trials
Contributed Papers · Wed, Aug 6 , 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
Advances in Transfer Learning
Co-Author
Presentation: Adaptive Deep Transfer Learning in high dimensional regression
Contributed Papers · Tue, Aug 5 , 10:30 AM
Inference and Uncertainty Quantification
Co-Author
Presentation: Conformal Mirror Statistics for Model Alignment: Uncertainty Quantification with FDR Control
Contributed Papers · Thu, Aug 7 , 8:30 AM
Causal Inferences and Robust Estimators
Co-Author
Presentation: Semiparametric Sieve Estimation for Survival Data with Two-layer Censoring
Contributed Papers · Tue, Aug 5 , 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
Co-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
Co-Author
Presentation: The promise of multi-site heterogeneity for multiple negative control outcomes
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
Latest Techniques in Risk Prediction Modeling
Co-Author
Presentation: Targeted learning via probabilistic subpopulation matching
Contributed Papers · Thu, Aug 7 , 8:30 AM
Recent Advances in Personalized Precision Medicine Research
Co-Author
Presentation: Debiased EHR Embeddings for Individualized Treatment Effect Estimation in Precision Medicine
Contributed Papers · Mon, Aug 4 , 2:00 PM