Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods

Bayesian kernel machine regression‐causal mediation analysis

(2022) Katrina L. Devick et al.   STATISTICS IN MEDICINE

Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis

(2021) Daniel R. Kowal   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A spatiotemporal case‐crossover model of asthma exacerbation in the City of Houston

(2021) Julia C. Schedler et al.   Stat

Bayesian joint modeling of chemical structure and dose response curves

(2021) Kelly R. Moran et al.   Annals of Applied Statistics

Perturbed factor analysis: Accounting for group differences in exposure profiles

(2021) Arkaprava Roy et al.   Annals of Applied Statistics

Effects of accumulated environmental, social and host exposures on early childhood educational outcomes

(2021) Mercedes A. Bravo et al.   ENVIRONMENTAL RESEARCH

A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies

(2021) Jeremiah Zhe Liu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Bayesian variable selection for understanding mixtures in environmental exposures

(2021) Daniel R. Kowal et al.   STATISTICS IN MEDICINE

Bayesian multiple index models for environmental mixtures

(2021) Glen McGee et al.   BIOMETRICS

Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs

(2021) Daniel Mork et al.   BIOMETRICS

Generalized infinite factorization models

(2021) L Schiavon et al.   BIOMETRIKA

Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors

(2020) Joseph Antonelli et al.   Annals of Applied Statistics

Environmental mixtures and childrenʼs health

(2020) Eva Tanner et al.   CURRENT OPINION IN PEDIATRICS

A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixtures

(2020) Alexander P. Keil et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Bayesian Factor Analysis for Inference on Interactions

(2020) Federico Ferrari et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Lagged WQS regression for mixtures with many components

(2020) Chris Gennings et al.   ENVIRONMENTAL RESEARCH

Identifying main effects and interactions among exposures using Gaussian processes

(2020) Federico Ferrari et al.   Annals of Applied Statistics

Treed distributed lag nonlinear models

(2020) Daniel Mork et al.   BIOSTATISTICS

An overview of methods to address distinct research questions on environmental mixtures: an application to persistent organic pollutants and leukocyte telomere length

(2019) Elizabeth A. Gibson et al.   Environmental Health

Joint species distribution modelling with the r ‐package H msc

(2019) Gleb Tikhonov et al.   Methods in Ecology and Evolution

Bias Amplification in Epidemiologic Analysis of Exposure to Mixtures

(2018) Marc G. Weisskopf et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Incorporating regulatory guideline values in analysis of epidemiology data

(2018) Chris Gennings et al.   ENVIRONMENT INTERNATIONAL

Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression

(2018) Jennifer F. Bobb et al.   Environmental Health

Multi-study Factor Analysis

(2018) Roberta De Vito et al.   BIOMETRICS

Extending the Distributed Lag Model framework to handle chemical mixtures

(2017) Ghalib A. Bello et al.   ENVIRONMENTAL RESEARCH

Statistical Approaches for Assessing Health Effects of Environmental Chemical Mixtures in Epidemiology: Lessons from an Innovative Workshop

(2016) Kyla W. Taylor et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Convex Modeling of Interactions With Strong Heredity

(2016) Asad Haris et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Model Selection for High-Dimensional Quadratic Regression via Regularization

(2016) Ning Hao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

EigenPrism: inference for high dimensional signal-to-noise ratios

(2016) Lucas Janson et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Distributed Lag Linear and Non-Linear Models inR: The Packagedlnm

(2015) Antonio Gasparrini   Journal of Statistical Software

Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures

(2014) Jennifer F. Bobb et al.   BIOSTATISTICS

Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting

(2014) Caroline Carrico et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

A lasso for hierarchical interactions

(2013) Jacob Bien et al.   ANNALS OF STATISTICS

Unraveling the Health Effects of Environmental Mixtures: An NIEHS Priority

(2013) Danielle J. Carlin et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Sparse Bayesian infinite factor models

(2011) A. Bhattacharya et al.   BIOMETRIKA

Statistical Methods to Study Timing of Vulnerability with Sparsely Sampled Data on Environmental Toxicants

(2010) Brisa Ney Sánchez et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Common SNPs explain a large proportion of the heritability for human height

(2010) Jian Yang et al.   NATURE GENETICS