mds_ts

<p>A list of three <code>mds_ts</code> time series generated using the <code>mds</code>
package function <code>time_series()</code>. Its underlying data were queried from
the [FDA MAUDE API](https://open.fda.gov/api/). Furthermore, a simulated
exposure dataset was generated to provide exposure data.</p>

datasets

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.

Gary Chung

mdsstat

Statistical Trending for Medical Devices Surveillance

Zhiheng Xu

Stephane Bottine

Isma<c3><af>l Ahmed

John Ihrie

mds_ts function

<p>A list with 3 elements, with each element being a data frame of class</p>

Format

Sample List of <code>mds_ts</code> Time Series — mds_ts

Sample List of <code>mds_ts</code> Time Series

mds_ts: Sample List of `mds_ts` Time Series

Description

Usage

Arguments

Format