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Data will be screened for missing values.
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Third, all relevant variables are screened for missing observations.
Prior to analyses, data were screened for missing values.
Data were screened for missing values and outliers.
Each variable was screened for missing values; those variables with more than 30% of values missing were dropped from the analysis to restrict the model to include only routinely measured variables.
The data will be screened for outliers and missing values.
Prior to data analyses, data will be screened for the accuracy of the data file, missing data, outliers, and distribution.
The data will be screened for data entry errors, extreme values, and missing values using simple tables, plots, and dedicated commands to identify (multivariable) outliers.
Women with GDM should be screened for diabetes postpartum; however, some miss the follow-up for the glucose surveillance.
They, therefore, missed the opportunity to be screened for the first time in the framework of our study.
Samples were screened for the proportion of missing genotypes, and animals with greater than 10% missing genotypes were removed.
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