64 citations · 201 across the 34 of their papers we have counts for
4 papers · 1 filter
Review of Quasi-Randomization Approaches for Estimation from Non-probability Samples
Vladislav Beresovsky, Julie Gershunskaya, Terrance D. Savitsky
The recent proliferation of computers and the internet have opened new opportunities for collecting and processing data. However, such data are often obtained without a well-planne…
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…
csSampling: An R Package for Bayesian Models for Complex Survey Data
Ryan Hornby, Matthew R. Williams, Terrance D. Savitsky +1
We present csSampling, an R package for estimation of Bayesian models for data collected from complex survey samples. csSampling combines functionality from the probabilistic progr…
R-Shiny Applications for Local Clustering to be Included in the growclusters for R Package
Randall Powers, Wendy Martinez, Terrance Savitsky
growclusters for R is a package that estimates a partition structure for multivariate data. It does this by implementing a hierarchical version of k-means clustering that accounts…