| BCEE-package {BCEE} | R Documentation |
The Bayesian Causal Effect Estimation (BCEE) Algorithm
Description
A Bayesian model averaging approach to causal effect estimation based on the BCEE algorithm. Currently supports binary or continuous exposures and outcomes. For more details, see: Talbot et al. (2015) DOI:10.1515/jci-2014-0035, Talbot and Beaudoin (2023) DOI:10.1515/jci-2021-0023.
Details
ABCEE(X, Y, U, omega),
NBCEE(X, Y, U, omega),
GBCEE(X, Y, U, omega)
Author(s)
Denis Talbot, Genevieve Lefebvre, Juli Atherton, Yohann Chiu.
Maintainer: Denis Talbot denis.talbot@fmed.ulaval.ca
References
Talbot, D., Lefebvre, G., Atherton, J. (2015) The Bayesian causal effect estimation algorithm, Journal of Causal Inference, 3(2), 207-236.\ Talbot, D., Beaudoin, C (2022) A generalized double robust Bayesian model averaging approach to causal effect estimation with application to the Study of Osteoporotic Fractures, Journal of Causal Inference, 10(1), 335-371.