15 citations · 16 across the 5 of their papers we have counts for
5 papers
Derivation of outcome-dependent dietary patterns for low-income women obtained from survey data using a Supervised Weighted Overfitted Latent Class Analysis
Stephanie M. Wu, Matthew R. Williams, Terrance D. Savitsky +1
Poor diet quality is a key modifiable risk factor for hypertension and disproportionately impacts low-income women. \sw{Analyzing diet-driven hypertensive outcomes in this demograp…
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
Mengbing Li, Briana Stephenson, Zhenke Wu
Dietary patterns synthesize multiple related diet components, which can be used by nutrition researchers to examine diet-disease relationships. Latent class models (LCMs) have been…
Bayesian estimation methods for survey data with potential applications to health disparities research
Stephanie M. Wu, Briana Joy K. Stephenson
Understanding how and why certain communities bear a disproportionate burden of disease is challenging due to the scarcity of data on these communities. Surveys provide a useful av…
Supervised Robust Profile Clustering
Briana Stephenson, Amy Herring, Andrew Olshan
In many studies, dimension reduction methods are used to profile participant characteristics. For example, nutrition epidemiologists often use latent class models to characterize d…
Robust Clustering with Subpopulation-specific Deviations
Briana Stephenson, Amy Herring, Andrew Olshan
The National Birth Defects Prevention Study (NBDPS) is a case-control study of birth defects conducted across 10 U.S. states. Researchers are interested in characterizing the etiol…