Bayesian Additive Regression Trees for Confounder Selection
Synthetic dataset for simulation
Fit BART models to select confounders and estimate treatment effect
bartcs: Bayesian Additive Regression Trees for Confounder Selection
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Summary for bartcs object
Fit Bayesian Regression Additive Trees (BART) models to select true confounders from a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2023) <doi:10.1111/biom.13833>.