| definition | Data that are missing on a variable. The missing data can be missing completely at random (MCAR), missing at random (MAR), or missing not at random (MNAR). The reason why the data are missing informs how it should be curated (e.g. whether to impute the missing data or not). | ||||||
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| editorial note | Expert review decision, 2021-22: Edit | ||||||
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| top concept of | rdmt original | ||||||