SBSA-package: Simplified Bayesian Sensitivity Analysis

Description

Simplified Bayesian sensitivity analysis of models with partially observed confounders.

Details

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.

Author(s)

Davor Cubranic cubranic@stat.ubc.ca and Paul Gustafson gustaf@stat.ubc.ca

Maintainer: Davor Cubranic cubranic@stat.ubc.ca

References

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

See Also

fitSBSA

Examples

1
## see examples for fitSBSA

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.