output
20082025
most citedA quantile-based g-computation approach to addressing the effects of exposure mixtures

1.8k citations

11 papers

stat.AP2025★ 29 cited

Functional Analysis of Variance for Association Studies

Olga A. Vsevolozhskaya, Dmitri V. Zaykin, Mark C. Greenwood +2

While progress has been made in identifying common genetic variants associated with human diseases, for most of common complex diseases, the identified genetic variants only accoun…

q-bio.BM2023

Decoding the Molecular Universe -- Workshop Report

Thomas O. Metz, Joshua N. Adkins, Peter B. Armentrout +30

On August 9-10, 2023, a workshop was convened at the Pacific Northwest National Laboratory (PNNL) in Richland, WA that brought together a group of internationally recognized expert…

math.ST2020★ 5 cited

Fast increased fidelity approximate Gibbs samplers for Bayesian Gaussian process regression

Kelly R. Moran, Matthew W. Wheeler

The use of Gaussian processes (GPs) is supported by efficient sampling algorithms, a rich methodological literature, and strong theoretical grounding. However, due to their prohibi…

stat.ME2020★ 7 cited

A Hierarchical Integrative Group LASSO (HiGLASSO) Framework for Analyzing Environmental Mixtures

Jonathan Boss, Alexander Rix, Yin-Hsiu Chen +6

Environmental health studies are increasingly measuring multiple pollutants to characterize the joint health effects attributable to exposure mixtures. However, the underlying dose…

stat.AP2019★ 6 cited

Bayesian joint modeling of chemical structure and dose response curves

Kelly R. Moran, David Dunson, Matthew W. Wheeler +1

Today there are approximately 85,000 chemicals regulated under the Toxic Substances Control Act, with around 2,000 new chemicals introduced each year. It is impossible to screen al…

q-bio.GN2019★ 17 cited

DOT: Gene-set analysis by combining decorrelated association statistics

Olga A Vsevolozhskaya, Min Shi, Fengjiao Hu +1

Historically, the majority of statistical association methods have been designed assuming availability of SNP-level information. However, modern genetic and sequencing data present…

stat.ME2019★ 1.8k cited

A quantile-based g-computation approach to addressing the effects of exposure mixtures

Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien +3

Exposure mixtures frequently occur in data across many domains, particularly in the fields of environmental and nutritional epidemiology. Various strategies have arisen to answer q…

cs.CL2018

Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study

Drahomira Herrmannova, Steven R. Young, Robert M. Patton +3

Identifying and extracting data elements such as study descriptors in publication full texts is a critical yet manual and labor-intensive step required in a number of tasks. In thi…

stat.ME2010★ 17 cited

Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium

Gang Zheng, Jungnam Joo, Dmitri Zaykin +2

Under complete linkage disequilibrium (LD), robust tests often have greater power than Pearson's chi-square test and trend tests for the analysis of case-control genetic associatio…

math.ST2009★ 30 cited

On a generalized false discovery rate

Sanat K. Sarkar, Wenge Guo

The concept of -FWER has received much attention lately as an appropriate error rate for multiple testing when one seeks to control at least false rejections, for some fixed…

math.ST2008★ 7 cited

Statistical inference under order restrictions on both rows and columns of a matrix, with an application in toxicology

Eric Teoh, Abraham Nyska, Uri Wormser +1

We present a general methodology for performing statistical inference on the components of a real-valued matrix parameter for which rows and columns are subject to order restrictio…