mederrRank: Bayesian Methods for Identifying the Most Harmful Medication Errors

This package implements two distinct but related statistical approaches to the problem of identifying the combinations of medication error characteristics that are more likely to result in harm: 1) Bayesian hierarchical models with optimal Bayesian ranking on the log odds of harm, and 2) an empirical Bayes model that estimates the ratio of the observed count of harm to the count that would be expected if error characteristics and harm were independent. In addition, for the Bayesian hierarchical model, the package provides functions to assess the sensitivity of results to different specifications of the random effects distributions.

Version: 0.0.7
Depends: BB, methods, numDeriv, utils
Published: 2012-11-17
Author: Sergio Venturini, Jessica Myers
Maintainer: Sergio Venturini <sergio.venturini at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mederrRank results


Reference manual: mederrRank.pdf
Package source: mederrRank_0.0.7.tar.gz
OS X binary: mederrRank_0.0.7.tgz
Windows binary:
Old sources: mederrRank archive