Ranking sociodemographic, health behavior, prevention, and environmental factors in predicting neighborhood cardiovascular health: A Bayesian machine learning approach

Estimation of causal effects of multiple treatments in observational studies with a binary outcome

(2020) Liangyuan Hu et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis

(2019) Sabrina Mezzatesta et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records

(2019) Michele Bernardini et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Adaptive designs in clinical trials: why use them, and how to run and report them

(2018) Philip Pallmann et al.   BMC Medicine

Reducing Cardiovascular Disparities Through Community-Engaged Implementation Research

(2018) George A. Mensah et al.   CIRCULATION RESEARCH

Validation of Multilevel Regression and Poststratification Methodology for Small Area Estimation of Health Indicators From the Behavioral Risk Factor Surveillance System

(2015) Xingyou Zhang et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Variable selection for BART: An application to gene regulation

(2014) Justin Bleich et al.   Annals of Applied Statistics

BART: Bayesian additive regression trees

(2010) Hugh A. Chipman et al.   Annals of Applied Statistics

Bayesian Nonparametric Modeling for Causal Inference

(2010) Jennifer L. Hill   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS