115 citations · 182 across the 13 of their papers we have counts for
3 papers · 1 filter
A Bayesian Nonparametric Model for Zero-Inflated Outcomes: Prediction, Clustering, and Causal Estimation
Arman Oganisian, Nandita Mitra, Jason Roy
Researchers are often interested in predicting outcomes, conducting clustering analysis to detect distinct subgroups of their data, or computing causal treatment effects. Pathologi…
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…
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.…