R package BACprior: Choice of the Hyperparameter Omega in the Bayesian Adjustment for Confounding (BAC) Algorithm. The BACprior package provides an approximate sensitivity analysis of the Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012) with regards to the hyperparameter omega. The package also provides functions to guide the user in their choice of an appropriate omega value. The method is based on Lefebvre, Atherton and Talbot (2014).
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References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- Hahn, P. Richard; Carvalho, Carlos M.; Puelz, David; He, Jingyu: Regularization and confounding in linear regression for treatment effect estimation (2018)
- Lefebvre, Geneviève; Atherton, Juli; Talbot, Denis: The effect of the prior distribution in the \textitBayesianAdjustment for Confounding algorithm (2014)
- Wang, Chi; Parmigiani, Giovanni; Dominici, Francesca: Bayesian effect estimation accounting for adjustment uncertainty (2012)