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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.ME2018
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…
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…