Data cleaning: detecting, diagnosing, and editing data abnormalities - PubMed (original) (raw)

Data cleaning: detecting, diagnosing, and editing data abnormalities

Jan Van den Broeck et al. PLoS Med. 2005 Oct.

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.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1

Figure 1. A Data-Cleaning Framework

(Illustration: Giovanni Maki)

Figure 2

Figure 2. Areas within the Range of a Continuous Variable Defined by Hard and Soft Cutoffs for Error Screening and Diagnosis, with Recommended Diagnostic Steps for Data Points Falling in Each Area

(Illustration: Giovanni Maki)

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