1 citations · 1 across the 2 of their papers we have counts for
4 papers
A nutritionally informed model for Bayesian variable selection with metabolite response variables
Dylan Clark-Boucher, Brent A Coull, Harrison T Reeder +4
Understanding the pathways through which diet affects human metabolism is a central task in nutritional epidemiology. This article proposes novel methodology to identify food items…
Group-wise normalization in differential abundance analysis of microbiome samples
Dylan Clark-Boucher, Brent A Coull, Harrison T Reeder +4
A key challenge in differential abundance analysis of microbial samples is that the counts for each sample are compositional, resulting in biased comparisons of the absolute abunda…
Principal variables analysis for non-Gaussian data
Dylan Clark-Boucher, Jeffrey W. Miller
Principal variables analysis (PVA) is a technique for selecting a subset of variables that capture as much of the information in a dataset as possible. Existing approaches for PVA…
Methods for Large-scale Single Mediator Hypothesis Testing: Possible Choices and Comparisons
Jiacong Du, Xiang Zhou, Wei Hao +3
Mediation hypothesis testing for a large number of mediators is challenging due to the composite structure of the null hypothesis, H0:alpha*beta=0 (alpha: effect of the exposure on…