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about2.Rmd
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---
title: "About"
author: "Christopher Peters"
date: "June 26, 2015"
output: html_document
---
from adverse events related to medicine listed in the API, so I hope you'll agree that public awareness and understanding of the risks associated with pharmaceuticals are a worthy endeavor.
<i>Note: the FDA <a href="http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Surveillance/AdverseDrugEffects/ucm070461.htm">reports 117,752 deaths in the database in just 2013</a>, so the number above [may even understate the total number of deaths from advese events](https://api.fda.gov/drug/event.json?search=&count=patient.reaction.reactionoutcome).</i>
### Limitations
- The actual reports are not very standardized, erroneous data are common.
- Reports commonly list multiple drugs and multiple reactions, so there is not way to know if a certain drug caused a certain reaction. Here's a highly simplified example of [how reports are filled out](https://open.fda.gov/drug/event/#adverse-event-reports).
- The data typically lag by six months, so this isn't recent data.
- There's no measure of drugs dispensed, so actual counts reflect some mix of how common a drug is and how often reports are filed.
- This dataset is limited to events that are actually reported, some drugs might be systematically reported more or less often.
### FDA Adverse Event Reporting System (FAERS)
The <a href="http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Surveillance/AdverseDrugEffects/">FDA FAERS system</a> is a database of adverse events (basically, drug reactions and medication error reports). The FDA uses the database in its post-marketing surveillance program.
### OpenFDA
In early 2014, <a href="https://open.fda.gov/update/introducing-openfda/">the FDA released an API</a> to make adverse event reports, labels, and eforcement reports more accessible.
Previously, these files only existed <a href="http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Surveillance/AdverseDrugEffects/ucm082193.htm">as flat files on the FDA website.</a> If you'd like to access the entirety of the data shown in this dashboard, these files are a good start -- though they generally lag by six months (today (6/27/15), the latest available data is from 2014).
### People who deserve credit
Taha A. Kass-Hout, MD, MS, Chief Health Informatics Officer of FDA
for leading the FDA team to publish the OpenFDA API.
- [@DrTaha_FDA](https://twitter.com/DrTaha_FDA)
[Contributors](https://github.com/FDA/openfda/graphs/contributors) to the OpenFDA project.
[Contributors](https://github.com/rOpenHealth/openfda/graphs/contributors) to the [rOpenHealth](https://github.com/rOpenHealth) R package for [making working with the API in R a pleasure](https://github.com/ropenhealth/openfda).
The Rstudio team for <a href="http://shiny.rstudio.com/">their awesome web application framework for R</a>, Shiny.
Hadley Wickham, first creator of four of the R packages below.
[Paul H. C. Eilers](http://portal.uc3m.es/portal/page/portal/conocenos/chairs_excellence/chairs_excel_14/paul_eilers) and [Brian D. Marx](http://www.stat.lsu.edu/faculty/marx/) for the Smoothing spline method used on weekly report counts: ["Flexible smoothing with B-splines and penalties"](http://projecteuclid.org/euclid.ss/1038425655)
### R packages used
- Shiny [https://github.com/rstudio/shiny-server](https://github.com/rstudio/shiny-server)
- rOpenSci/openfda [https://github.com/ropenhealth/openfda](https://github.com/ropenhealth/openfda)
- ggplot2 [https://github.com/hadley/ggplot2](https://github.com/hadley/ggplot2)
- scales [https://github.com/hadley/scales](https://github.com/hadley/scales)
- dplyr [https://github.com/hadley/dplyr](https://github.com/hadley/dplyr)
- reshape2 [https://github.com/hadley/reshape](https://github.com/hadley/reshape)
- ggthemes [https://github.com/jrnold/ggthemes](https://github.com/jrnold/ggthemes)
### Find a bug?
Please report it here: [https://github.com/statwonk/openfda-dashboard/issues](https://github.com/statwonk/openfda-dashboard/issues)