caers_raw: Raw CAERS data

In openEBGM: EBGM Disproportionality Scores for Adverse Event Data Mining

Raw CAERS data

Description

A small subset of raw, publicly available CAERS data used to demonstrate how to prepare data for use by openEBGM's functions.

Usage

caers_raw

Format

A data frame with 117 rows and 6 variables:

RA_Report..

CAERS report identification number.

PRI_Reported.Brand.Product.Name

The verbatim brands and/or product names indicated to have been used by the consumer reported to have experienced the adverse event.

CI_Age.at.Adverse.Event

The age of the consumer reported to have experienced the adverse event, in units specified by CI_Age.Unit.

CI_Age.Unit

The time unit (day, week, month, year) of the age provided in the CI_Age.at.Adverse.Event data field for the consumer reported to have experienced the adverse event.

CI_Gender

The sex of the individual reported to have experienced the adverse event.

SYM_One.Row.Coded.Symptoms

The symptom(s) experienced by the injured consumer as specified by the reporter and coded by FDA according to the Medical Data Dictionary for Regulatory Activities (MedDRA).

Details

The column names appear exactly as they would if you had used read.csv() to pull the data directly from the website below.

Further details about the data can be found using the links below.

Source

CFSAN Adverse Event Reporting System (FDA Center for Food Safety and Nutrition)

https://www.fda.gov/food/compliance-enforcement-food

https://www.fda.gov/media/97035/download

openEBGM documentation built on Sept. 15, 2023, 1:08 a.m.