Description Details Author(s) References See Also Examples
Simplified Bayesian sensitivity analysis of models with partially observed confounders.
The SBSA
package is an implementation of algorithms for
simplified Bayesian sensitivity analysis described in Gustafson
et al (2010). It has one entry function,
fitSBSA
. For more details refer to the relevant help files.
Davor Cubranic cubranic@stat.ubc.ca and Paul Gustafson gustaf@stat.ubc.ca
Maintainer: Davor Cubranic cubranic@stat.ubc.ca
Gustafson, P., L. C. McCandless, A. R. Levy, and S. Richardson. (2010) ‘Simplified Bayesian Sensitivity Analysis for Mismeasured and Unobserved Confounders.’ Biometrics, 66(4):1129-1137. DOI: 10.1111/j.1541-0420.2009.01377.x
1 | ## see examples for fitSBSA
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