1 citations · 1 across the 2 of their papers we have counts for
3 papers · 1 filter
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…
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…