activity
20172022
collaborators

5 papers

stat.ME2022

Bayesian Arc Length Survival Analysis Model (BALSAM): Theory and Application to an HIV/AIDS Clinical Trial

Yan Gao, Rodney A. Sparapani, Sanjib Basu

Stochastic volatility often implies increasing risks that are difficult to capture given the dynamic nature of real-world applications. We propose using arc length, a mathematical…

stat.ML2021

Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning

Robert E. McCulloch, Rodney A. Sparapani, Brent R. Logan +1

We provide a new flexible framework for inference with the instrumental variable model. Rather than using linear specifications, functions characterizing the effects of instruments…

stat.ML2018

Fully Nonparametric Bayesian Additive Regression Trees

Edward George, Prakash Laud, Brent Logan +2

Bayesian Additive Regression Trees (BART) is a fully Bayesian approach to modeling with ensembles of trees. BART can uncover complex regression functions with high dimensional regr…

stat.ME2018

Nonparametric competing risks analysis using Bayesian Additive Regression Trees (BART)

Rodney Sparapani, Brent R. Logan, Robert E. McCulloch +1

Many time-to-event studies are complicated by the presence of competing risks. Such data are often analyzed using Cox models for the cause specific hazard function or Fine-Gray mod…

stat.ME2017

Decision making and uncertainty quantification for individualized treatments

Brent R. Logan, Rodney Sparapani, Robert E. McCulloch +1

Individualized treatment rules (ITR) can improve health outcomes by recognizing that patients may respond differently to treatment and assigning therapy with the most desirable pre…