activity
20102023
most citedA statistical framework for joint eQTL analysis in multiple tissues

322 citations · 519 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ME2023

Non-parametric Bayesian mixture model to study adverse events of COVID-19 vaccines

Ali Turfah, Xiaoquan Wen, Lili Zhao

The vaccine adverse event reporting system (VAERS) is a vital resource for post-licensure vaccine safety monitoring and has played a key role in assessing the safety of COVID-19 va…

stat.ME2021★ 1 cited

Statistical Assessment of Replicability via Bayesian Model Criticism

Yi Zhao, Xiaoquan Wen

Assessment of replicability is critical to ensure the quality and rigor of scientific research. In this paper, we discuss inference and modeling principles for replicability assess…

stat.ME2018★ 4 cited

A Unified View of False Discovery Rate Control: Reconciliation of Bayesian and Frequentist Approaches

Xiaoquan Wen

This paper explores the intrinsic connections between the Bayesian false discovery rate (FDR) control procedures and their counterpart of frequentist procedures. We attempt to offe…

stat.ME2014

Bayesian Model Comparison in Genetic Association Analysis: Linear Mixed Modeling and SNP Set Testing

Xiaoquan Wen

We consider the problems of hypothesis testing and model comparison under a flexible Bayesian linear regression model whose formulation is closely connected with the linear mixed e…

stat.ME2013★ 1 cited

Robust Bayesian FDR Control using Bayes Factors, with Applications to Multi-tissue eQTL Discovery

Xiaoquan Wen

Motivated by the genomic application of expression quantitative trait loci (eQTL) mapping, we propose a new procedure to perform simultaneous testing of multiple hypotheses using B…

stat.ME2013★ 32 cited

Bayesian Model Selection in Complex Linear Systems, as Illustrated in Genetic Association Studies

Xiaoquan Wen

Motivated by examples from genetic association studies, this paper considers the model selection problem in a general complex linear model system and in a Bayesian framework. We di…