42 citations · 55 across the 15 of their papers we have counts for
5 papers · 1 filter
Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors
Joseph Antonelli, Maitreyi Mazumdar, David Bellinger +3
Humans are routinely exposed to mixtures of chemical and other environmental factors, making the quantification of health effects associated with environmental mixtures a critical…
A Single Visualization Technique for Displaying Multiple Metabolite-Phenotype Associations
Mir Henglin, Teemu Niiranen, Jeramie D. Watrous +10
More advanced visualization tools are needed to assist with the analyses and interpretation of human metabolomics data, which are rapidly increasing in quantity and complexity. Usi…
Quantitative Comparison of Statistical Methods for Analyzing Human Metabolomics Data
Brian L. Claggett, Joseph Antonelli, Mir Henglin +10
Background. Emerging technologies now allow for mass spectrometry based profiling of up to thousands of small molecule metabolites (metabolomics) in an increasing number of biosamp…
Statistical Methods and Workflow for Analyzing Human Metabolomics Data
Joseph Antonelli, Brian Claggett, Mir Henglin +9
High-throughput metabolomics investigations, when conducted in large human cohorts, represent a potentially powerful tool for elucidating the biochemical diversity and mechanisms u…
High-dimensional confounding adjustment using continuous spike and slab priors
Joseph Antonelli, Giovanni Parmigiani, Francesca Dominici
In observational studies, estimation of a causal effect of a treatment on an outcome relies on proper adjustment for confounding. If the number of the potential confounders () i…