Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities

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

doi:10.1371/journal.pmed.0020267

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Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities

Jan Van den Broeck ,

*To whom correspondence should be addressed. E-mail: jan.broeck@africacentre.ac.za
⨯
Solveig Argeseanu Cunningham,
Roger Eeckels,
Kobus Herbst

Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities

Jan Van den Broeck,
Solveig Argeseanu Cunningham,
Roger Eeckels,
Kobus Herbst

Published: September 6, 2005
https://doi.org/10.1371/journal.pmed.0020267

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Basic /Raw data detailed examination

Posted by AnilArekar on 13 Oct 2010 at 11:39 GMT

Basic data are of vital importance.Unfortunately data have not given the due importance it deserve.All statistical conclusions are based on the statistical results.One outlier/inconsistent observation can potentially damage results of the study.
Advice to statisticians to apply statistical methods to accurate and relevant data.
Thanks,
Anil Arekar

No competing interests declared.

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Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities

Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities

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Basic /Raw data detailed examination

Posted by AnilArekar on 13 Oct 2010 at 11:39 GMT