SBSA-package: Simplified Bayesian Sensitivity Analysis

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 and Paul Gustafson

Maintainer: Davor Cubranic


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



## see examples for fitSBSA

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