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Individuals aged ≥70 years with a follow-up >1 year and less than two health contacts during their follow-up period were removed because data completeness is most likely seriously deficient in this subgroup.
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Data completeness is above 96%.
Several cohorts remain incomplete because of missing data: Brazil and Peru are examples of how reported treatment success can increase when data completeness is improved.
Data completeness was optimal.
Data completeness was highlighted as a challenge.
Data completeness was evaluated at two levels: 1) completeness of procedure registrations and 2) completeness of variable registrations.
The desired goal of data completeness was set at ≥80%.
Data completeness was high for a routine cohort study.
Data completeness was at least 90% for all other variables.
Data completeness was assessed by calculating missing data rates for each item.
Data completeness was verified by a software routine that displayed warning notices for missing data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com