activity
20142026
most citedOracle, Multiple Robust and Multipurpose Calibration in a Missing Response Problem

55 citations · 60 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ME2026

Two-stage Adaptive Testing of Large-scale Mediation Hypotheses

Yueqi Xu, Kwun Chuen Gary Chan

In testing large-scale mediation hypotheses, the exposure-mediator and mediator-outcome path-specific p-values obtained for each hypothesis from the same sample can be combined int…

stat.ME2023

An Effective Multivariate Normality Test via Hessians of Empirical Cumulant Generating Functions

Kwun Chuen Gary Chan, Hok Kan Ling, Chuan-Fa Tang +1

In this article, we propose a new class of consistent tests for -variate normality. These tests are based on the characterization of the standard multivariate normal distributio…

math.ST2022

Likelihood-based Spacings Goodness-of-Fit Statistics for Univariate Shape-constrained Densities

Kwun Chuen Gary Chan, Hok Kan Ling, Chuan-Fa Tang +1

A variety of statistics based on sample spacings have been studied for testing goodness-of-fit to parametric distributions. To test the goodness-of-fit to a nonparametric class of…

stat.ME2021

Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation

Steven Wilkins-Reeves, Yen-Chi Chen, Kwun Chuen Gary Chan

Data harmonization is the process by which an equivalence is developed between two variables measuring a common trait. Our problem is motivated by dementia research in which multip…

stat.ML2021★ 1 cited

Matrix Completion with Model-free Weighting

Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao +1

In this paper, we propose a novel method for matrix completion under general non-uniform missing structures. By controlling an upper bound of a novel balancing error, we construct…

stat.ME2021

Estimation of Partially Conditional Average Treatment Effect by Hybrid Kernel-covariate Balancing

Jiayi Wang, Raymond K. W. Wong, Shu Yang +1

We study nonparametric estimation for the partially conditional average treatment effect, defined as the treatment effect function over an interested subset of confounders. We prop…

stat.ME2020★ 3 cited

Defining and Estimating Subgroup Mediation Effects with Semi-Competing Risks Data

Fei Gao, Fan Xia, Kwun Chuen Gary Chan

In many medical studies, an ultimate failure event such as death is likely to be affected by the occurrence and timing of other intermediate clinical events. Both event times are s…

stat.ME2018

Controlling the False Discovery Rate for Binary Feature Selection via Knockoff

Yuxiang Xie, Kwun Chuen Gary Chan

Variable selection has been widely used in data analysis for the past decades, and it becomes increasingly important in the Big Data era as there are usually hundreds of variables…

stat.ME2014★ 55 cited

Oracle, Multiple Robust and Multipurpose Calibration in a Missing Response Problem

Kwun Chuen Gary Chan, Sheung Chi Phillip Yam

In the presence of a missing response, reweighting the complete case subsample by the inverse of nonmissing probability is both intuitive and easy to implement. When the population…

stat.ME2014★ 1 cited

Marginalizable conditional model for clustered ordinal data

Rui Zhang, Kwun Chuen Gary Chan

We introduce a flexible parametric mixed effects model for correlated binary data, with parameters that can be directly interpreted as marginal odds ratios. This leads to a robust…