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08/29/2022
A Bayesian nonparametric approach for causal inference with multiple mediators
Mediation analysis with contemporaneously observed multiple mediators is...
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10/19/2021
Addressing Positivity Violations in Causal Effect Estimation using Gaussian Process Priors
In observational studies, causal inference relies on several key identif...
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09/22/2020
Hierarchical Bayesian Bootstrap for Heterogeneous Treatment Effect Estimation
A major focus of causal inference is the estimation of heterogeneous ave...
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02/28/2020
Estimating the impact of treatment compliance over time on smoking cessation using data from ecological momentary assessments (EMA)
The Wisconsin Smoker's Health Study (WSHS2) was a longitudinal trial con...
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02/11/2020
Bayesian Nonparametric Cost-Effectiveness Analyses: Causal Estimation and Adaptive Subgroup Discovery
Cost-effectiveness analyses (CEAs) are at the center of health economic ...
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01/22/2019
Bayesian additive regression trees and the General BART model
Bayesian additive regression trees (BART) is a flexible prediction model...
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10/22/2018
A Bayesian Nonparametric Method for Estimating Causal Treatment Effects on Zero-Inflated Outcomes
We present a Bayesian nonparametric method for estimating causal effects...
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06/11/2018
A semiparametric modeling approach using Bayesian Additive Regression Trees with an application to evaluate heterogeneous treatment effects
Bayesian Additive Regression Trees (BART) is a flexible machine learning...
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06/06/2018