mdsstat: Statistical Trending for Medical Devices Surveillance

A collection of common statistical algorithms used in active surveillance of medical device events. Context includes post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are device-event time series. Outputs include trending results with the ability to run multiple algorithms at once. This package works well with the 'mds' package, but does not require it.

Package details

AuthorGary Chung [aut, cre], Zhiheng Xu [ctb] (derived code for `cp_mean()`), Stephane Bottine [ctb] (derived code from 'SPRT' package), Ismaïl Ahmed [ctb] (derived code from 'PhViD' package), John Ihrie [ctb] (derived code from 'openEBGM' package)
MaintainerGary Chung <>
Package repositoryView on CRAN
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mdsstat documentation built on March 13, 2020, 2:58 a.m.