mederrRank:Bayesian Methods for Identifying the Most Harmful Medication
Errors
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 are
implemented in this package: 1) a Bayesian hierarchical model
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.
