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.
Package details 


Author  Sergio Venturini, Jessica Myers 
Maintainer  Sergio Venturini <[email protected]> 
License  GPL (>= 2)  file LICENSE 
Version  0.0.9 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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