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The percentages of missing data for the individual, work-related physical, and psychosocial factor categories were in the range of 0.3% 2.8% %.
The completeness of the data for the key variables described here is expressed in the low percentages of missing data for these variables.
The percentages of missing data for both talking with father and talking with mother were 2.8%, ranging from 0.1 5.5% over the countries.
The percentages of missing data for insulin independence were 3% at 1 year, 5% at 3 years, and 7% at 5 years and for other primary end points were 10to20%0% over years 1 3.
The overall percentages of missing data for body mass index and physical activity were, respectively, 6.8% and 9.5% in the Nurses Health Studyy, 6.7% and 8.5% in the Nurses Health Study III, and 12.8% and 14.0% in the Health Professionals Follow-up Study.
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Data quality concerns the completeness of item- and scale-level data, and was determined by the percentage of missing data for items, and the percentage of computable scale scores [ 8].
The percentage of missing data for each of the variables is included in Table 1.
Our dataset had a high percentage of missing data for the components that made up our primary outcome.
However, one major issue with the chief complaint field is a high percentage of missing data for Staten Island hospitals; two of the three Staten Island hospitals currently provide chief complaint data for only 26% of ED visits.
The percentage of missing data for our explanatory variables and covariates ranged from 0 to 17%.
The overall percentage of missing data for the SNP genotyping was 2.2%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com