Missing data: the impact of what is not there

The validity of clinical research is potentially threatened by missing data. Any variable measured in a study can have missing values, including the exposure, the outcome, and confounders. When missing values are ignored in the analysis, only those subjects with complete records will be included in...

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Bibliographic Details
Published inEuropean journal of endocrinology Vol. 183; no. 4; pp. E7 - E9
Main Authors Groenwold, Rolf H H, Dekkers, Olaf M
Format Journal Article
LanguageEnglish
Published Bristol Bioscientifica Ltd 01.10.2020
Oxford University Press
Subjects
Methodology Editorial
Missing data
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Summary:The validity of clinical research is potentially threatened by missing data. Any variable measured in a study can have missing values, including the exposure, the outcome, and confounders. When missing values are ignored in the analysis, only those subjects with complete records will be included in the analysis. This may lead to biased results and loss of power. We explain why missing data may lead to bias and discuss a commonly used classification of missing data.
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ISSN:0804-4643
1479-683X
1479-683X
DOI:10.1530/EJE-20-0732