Chi-Kuang Yeh and Peijun Sang

“Variable Selection in Multivariate Functional Linear Regression”

Ce Zhang, Haiwu Huang, Dipankar Bandyopadhyay, Riyadh Rustam Al-Mosawi, and Xuewen Lu

“Sieve Estimation of the Additive Hazards Model with Bivariate Current Status Data”

Zhichao Xu, Jaihee Choi, and Ryan Sun

“Set-Based Tests for Genetic Association Studies with Interval-Censored Competing Risks Outcomes”

Kan Chen, Qishuo Yin, and Qi Long

“Covariate-Balancing-Aware Interpretable Deep Learning Models for Treatment Effect Estimation”

Xin Wen

New York University

“Policy-Aware Design of Large-Scale Factorial Experiments”

Yicheng Shen

Johns Hopkins University

“MV-PEAL: A Federated Learning Framework for Multivariate Longitudinal EHR Data”

Tian Bai

Stanford University

“Conformal Selective Prediction with General Risk Control”

Qingkai Dong

University of Connecticut

“Preserving Rare Features in Big Data Regression: Balanced Subsampling”

Guanhao Zhou

University of Notre Dame

“Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models”

Yuhan Qian

University of Washington

“Robust and Data-Adaptive Integration of Nonconcurrent Data in Platform Trials via Gaussian Processes”

Yang Long

George Mason University

“Distributed Synthetic Surrogate Functional Regression (D-SSFR): A Scalable and Robust Framework for Estimating Spatially Varying Covariate Effects in AI-Augmented Neuroimaging”

Yunhan Mou

Yale University

“Integrating Prioritized and Non-Prioritized Structures in Win Statistics”

Dingyi Wang

Chinese Academy of Sciences; University of Connecticut

“Maximum-Variance-Reduction Stratification for Improved Subsampling”

Jianan Zhu

New York University

“Randomization-Based Inference for Average Treatment Effects in Inexactly Matched Observational Studies”

Yumiao Hui

University of Virginia

“Measuring Geographic Heterogeneities in Group Effect Using Semi-Parametric Spatial Effect Models under Complex Survey Sampling Designs”

Han Su

George Washington University

“Regularized Ensemble Forecasting for Learning Weights from Historical and Current Forecasts”

Ziji Qin

George Washington University

“To Adaptively Randomize or to Rerandomize: A Comparison of Covariate-Adaptive Randomization and Rerandomization”

Tian Jiang

University of Utah

“A Distributionally Robust Framework for Safe and Generalizable Utilization of Surrogates”

Haoyu Yang

Harvard University

“Synthetic Phenotype Assisted Linear Mixed Models Improve Proteome-Wide Genetic Discovery in Incomplete Biobank Data”

Zeyu Yang

George Washington University

“Feature Selection in Penalized Generalized Estimating Equations with False Discovery Rate Control”