BCEE-package

The Bayesian Causal Effect Estimation (BCEE) Algorithm

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. package

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.

See Also

ABCEE, NBCEE, GBCEE.