4 papers
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…
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…
Additivity Assessment in Nonparametric Models Using Ratio of Pseudo Marginal Likelihoods
Bonifride Tuyishimire, Brent R Logan, Purushottam W Laud
Nonparametric regression models such as Bayesian Additive Regression Trees (BART) can be useful in fitting flexible functions of a set of covariates to a response, while accounting…
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…