Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities

Book Abstract by: PLoS

Original Authors: Van den Broeck Jan; Argeseanu Cunningham Solveig; Eeckels Roger; Herbst Kobus

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In this policy forum the authors argue that data cleaning is an essential part of the research process, and should be incorporated

into study design.

Published: September 06, 2005

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<div dir='ltr'><font size='6'><b>Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities</b></font><br /><br /><strong>Summary by:</strong><a href="http://www.shvoong.com/writers/plos/" title="PLoS" target="_blank">PLoS</a><br />In this policy forum the authors argue that data cleaning is an essential part of the research process, and should be incorporated into study design.<br /><a href="http://www.shvoong.com/medicine-and-health/1791932-data-cleaning-detecting-diagnosing-editing/" target="_blank">Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities</a> Originally published in Shvoong: <a href="http://www.shvoong.com/medicine-and-health/1791932-data-cleaning-detecting-diagnosing-editing/" target="_blank">http://www.shvoong.com/medicine-and-health/1791932-data-cleaning-detecting-diagnosing-editing/</a> </div>

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