Journal
EUROPEAN JOURNAL OF ENDOCRINOLOGY
Volume 183, Issue 4, Pages E7-E9Publisher
BIOSCIENTIFICA LTD
DOI: 10.1530/EJE-20-0732
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Funding
- Netherlands Organization for Scientific Research (ZonMW-Vidi project) [917.16.430]
- LUMC
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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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