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In effect, this methodology assumes that the institution would have performed equally well in the missing data items as it did in the measures for which its data was available.
These reports include site-specific enrollment and follow-up statistics, demographics and flags of missing data items and data collection forms.
A multiple imputation procedure [18] (assumed data was missing at random) was used in this analysis to impute any missing data items.
This would, in principle, allow the values of some missing data items to be deduced from the values of related data elsewhere in the file.
There were missing data items in some of the SF-36 forms.
Missing data items were limited.
Similar(38)
Multiple imputation does not replace the missing item with a single predicted value, but rather imputes multiple values for each missing data item.
44 Imputation is the substitution of some value for a missing data item.
This resulted in several kinds of missing data, item, scale score, and questionnaire levels, along with attrition and total nonparticipation.
As recommended by Weinger et al. (2005) and indicated by substantial missing data, item 3 (check ketones) was excluded from our initial testing of unidimensional models.
Regardless of any decision to modify or discontinue their assigned intervention, study participants should be retained in the trial whenever possible to enable follow-up data collection and prevent missing data (Item 18b).
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missing data favors
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missing data mechanisms
missing data patterns
missing data values
missing data techniques
missing data rates
missing data imputations
missing data problems
missing data scenarios
missing data methods
missing data increases
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missing data percentages
missing data analyses
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