• Irony of the FAERS Database: An Analysis of Data Input Errors and Potential Consequences

    Author(s):
    Michael A. Veronin, Robert P. Schumaker, Rohit R. Dixit (see profile) , Morgan Ogwo
    Date:
    2018
    Item Type:
    Abstract
    Tag(s):
    Data cleaning, Data error, Data input, FAERS database, Food and Drug Administration, MedWatch
    Permanent URL:
    https://doi.org/10.17613/wpwy-8q50
    Abstract:
    One of the most common data entry problems occurs during the data input process. Even a seemingly insignificant typographical error can cause short- and long-term problems which may lead to inaccurate records, misinformation, and disorganization. The objective of this report is to present an analysis of specific files within the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database involving errors and inconsistencies in reporting of drug names and assess potential consequences.
    Notes:
    Author list: First author: Michael A. Veronin; Second author: Robert P. Schumaker; Third author: Rohit R. Dixit; Fourth author: Morgan Ogwo; Published abstract page.53: https://digitalcommons.pvamu.edu/cgi/viewcontent.cgi?article=1003&context=cyberage
    Metadata:
    xml
    Published as:
    Conference proceeding     Show details
    Publisher:
    INTERNATIONAL INFORMATION MANAGEMENT ASSOCIATION
    Pub. Date:
    2018
    Proceeding:
    IIMA/ICITED Joint Conference 2018
    Page Range:
    53 - 53
    Status:
    Published
    Last Updated:
    7 months ago
    License:
    Attribution-NonCommercial
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