Flexible Predictive Modeling for Causal Inference Using PROC BART

[#1]

Bayesian additive regression trees (BART) are a flexible predictive modeling technique and top-performing method for causal inference. Learn about how you can fit these models and use them for causal effect estimation with the BART procedure.

Presenting Company: SAS

Watch the recording