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Selected Publications


COADVISE: covariate adjustment with variable selection in randomized controlled trials

Journal Article Journal of the Royal Statistical Society Series A: Statistics in Society · November 4, 2025 AbstractAdjusting for covariates in randomized controlled trials can enhance the credibility and efficiency of treatment effect estimation. However, handling numerous covariates and their complex (nonline ... Full text Cite

Enhancing statistical validity and power in hybrid controlled trials: A randomization inference approach with conformal selective borrowing

Journal Article Proceedings of the 42nd International Conference on Machine Learning (ICML), PMLR · August 1, 2025 Open Access Link to item Cite

Sharp Variance Estimator and Causal Bootstrap in Stratified Randomized Experiments.

Journal Article Statistics in medicine · June 2025 Randomized experiments are the gold standard for estimating treatment effects, and randomization serves as a reasoned basis for inference. In widely used stratified randomized experiments, randomization-based finite-population asymptotic theory enables val ... Full text Cite

Design-Based Theory for Lasso Adjustment in Randomized Block Experiments and Rerandomized Experiments

Journal Article Journal of Business and Economic Statistics · January 1, 2025 Blocking, a special case of rerandomization, is routinely implemented in the design stage of randomized experiments to balance the baseline covariates. This study proposes a regression adjustment method based on the least absolute shrinkage and selection o ... Full text Cite

Efficacy of the automated mechanical repositioning chair treatment for patients with benign paroxysmal positional vertigo

Journal Article The Journal of Laryngology & Otology · January 2025 AbstractObjectives:This study aimed to examine the efficacy of the automated mechanical repositioning chairs compared to canalith repositioning manoeuvres for ... Full text Cite

Pair-switching rerandomization.

Journal Article Biometrics · September 2023 Rerandomization discards assignments with covariates unbalanced in the treatment and control groups to improve estimation and inference efficiency. However, the acceptance-rejection sampling method used in rerandomization is computationally inefficient. As ... Full text Cite

Construction and application of multi-dimensional food safety evaluation index system model

Journal Article Food and Machinery · May 1, 2023 Objective: It was the method of evaluating regional food safety status through food safety evaluation index model. Methods: In the index model, various factors affecting food safely, such as the size of the city, the types of food, the hazards of the test ... Full text Cite

The use of a new classification in endovascular treatment of dural arteriovenous fistulas

Journal Article Neuroscience Informatics · June 1, 2022 Objective: Dural arteriovenous fistula (DAVF) is a complex condition and several different classifications have been proposed focusing on venous drainage directions. This study was to evaluate a practical and easy-to-follow Zipfel's classification for DAVF ... Full text Cite

Confidence intervals for parameters in high-dimensional sparse vector autoregression

Journal Article Computational Statistics and Data Analysis · April 1, 2022 Vector autoregression (VAR) models are widely used to analyze the interrelationship between multiple variables over time. Estimation and inference of the transition matrices of VAR models are crucial for practitioners to make decisions in fields such as ec ... Full text Cite

Using natural intervention to promote subjective well-being of essential workers during public-health crises: A Study during COVID-19 pandemic.

Journal Article Journal of environmental psychology · February 2022 Essential workers such as medical workers and police officers are first-line fighters during public-health crises, such as COVID-19 pandemic. Every time, they are under heavy stress both physically and mentally. The goal of the present study was to develop ... Full text Cite