12 citations · 17 across the 4 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
stat.AP2018
A semiparametric modeling approach using Bayesian Additive Regression Trees with an application to evaluate heterogeneous treatment effects
Bret Zeldow, Vincent Lo Re, Jason Roy
Bayesian Additive Regression Trees (BART) is a flexible machine learning algorithm capable of capturing nonlinearities between an outcome and covariates and interaction among covar…
stat.ME2018★ 2 cited
Outcome identification in electronic health records using predictions from an enriched Dirichlet process mixture
Bret Zeldow, James Flory, Alisa Stephens-Shields +2
We propose a novel semiparametric model for the joint distribution of a continuous longitudinal outcome and the baseline covariates using an enriched Dirichlet process (EDP) prior.…