SBSA-package: Simplified Bayesian Sensitivity Analysis

In SBSA: 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 [e-mail] and Paul Gustafson [e-mail]

Maintainer: Davor Cubranic [e-mail]

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

## see examples for fitSBSA

SBSA documentation built on May 2, 2019, 5:24 p.m.