EconPapers    
Economics at your fingertips  
 

Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities

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

PLOS Medicine, 2005, vol. 2, issue 10, 1-

Abstract: 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.

Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020267 (text/html)
https://journals.plos.org/plosmedicine/article/fil ... 20267&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pmed00:0020267

DOI: 10.1371/journal.pmed.0020267

Access Statistics for this article

More articles in PLOS Medicine from Public Library of Science
Bibliographic data for series maintained by plosmedicine (plosmedicine@plos.org).

 
Page updated 2025-03-19
Handle: RePEc:plo:pmed00:0020267