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05/09/2023
Dirichlet process mixture models for the Analysis of Repeated Attempt Designs
In longitudinal studies, it is not uncommon to make multiple attempts to...
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05/08/2023
A Bayesian Non-parametric Approach for Causal Mediation with a Post-treatment Confounder
We propose a new Bayesian non-parametric (BNP) method for estimating the...
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05/02/2023
Truncation Approximation for Enriched Dirichlet Process Mixture Models
Enriched Dirichlet process mixture (EDPM) models are Bayesian nonparamet...
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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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08/21/2022
Flexible evaluation of surrogacy in Bayesian adaptive platform studies
Trial level surrogates are useful tools for improving the speed and cost...
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01/09/2022
Information Borrowing in Regression Models
Model development often takes data structure, subject matter considerati...
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12/28/2021
Variable Selection Using Bayesian Additive Regression Trees
Variable selection is an important statistical problem. This problem bec...
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06/28/2021
BNPqte: A Bayesian Nonparametric Approach to Causal Inference on Quantiles in R
In this article, we introduce the BNPqte R package which implements the ...
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01/18/2021
Inference for BART with Multinomial Outcomes
The multinomial probit Bayesian additive regression trees (MPBART) frame...
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11/29/2020
Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models
We introduce a novel procedure for obtaining cross-validated predictive ...
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11/24/2020
A Bayesian semi-parametric approach for inference on the population partly conditional mean from longitudinal data with dropout
Studies of memory trajectories using longitudinal data often result in h...
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11/01/2020
Informed Pooled Testing with Quantitative Assays
Pooled testing is widely used for screening for viral or bacterial infec...
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02/27/2019
Bayesian semi-parametric G-computation for causal inference in a cohort study with non-ignorable dropout and death
Causal inference with observational longitudinal data and time-varying e...
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01/03/2019
Bayesian Longitudinal Causal Inference in the Analysis of the Public Health Impact of Pollutant Emissions
Pollutant emissions from coal-burning power plants have been deemed to a...
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12/16/2018
Classification using Ensemble Learning under Weighted Misclassification Loss
Binary classification rules based on covariates typically depend on simp...
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05/18/2018