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Data were more likely to be missing in Greenland than in Ukraine, and the most prevalent missing information was the outcome WHtR of 25% in Greenland.
As with most survey studies, missing data from a lack of responding occurred on several items.
Presumably, MICE can be used for TIMSS missing-data problems, given that most variables with missing data in the TIMSS background datafiles are not normally distributed.
Most statistical methods for missing data require some assumptions on missingness mechanisms.
As with most survey sampling designs, missing data resulting from non-response occurred in several variables.
Most studies have some missing data.
The missing SAPS I scores are most likely due to missing data for the parameters used to calculate the score.
We focused on 3225 African Americans in ARIC for this analysis, excluding individuals based on the following criteria; participants from centers with small numbers (n = 55), prevalent CHD (n = 139), missing data for prevalent CHD (n = 63), and missing genotype data for the respective SNPs.
Respiratory rate and oxygen saturations were the most frequent missed data.
Of the 5,553 participants alive at the 1992 1993 clinic visit, we excluded 773 people with prevalent diabetes, 780 people with missing data on FABP4 and NEFA, 205 people with missing data on prevalent or incident type 2 diabetes, and 55 individuals with missing covariate information.
Most of the EC stations have missing data.
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