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For achieving the better effectiveness, GkNN regards all the imputed instances (i.e., the missing data been imputed) as observed data, which with complete instances (instances without missing values) together to iteratively impute other missing data.
One possible explanation is that when using MI to deal with the issue of missing data, some women who were really ER positive, may have been imputed as ER negative.
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Missing data values will be imputed as appropriate.
Where missing values exist, an SCI-R scale score can be imputed as long as the scale remains reliable (i.e. α > 0.70) with fewer than 13 items contributing to the scale score.
aNonresponder imputation: missing ACR responses were imputed as nonresponder.
The reason for including the dependent variable of the regression models into the imputation model is that otherwise the missing union membership would be imputed as though it had no relationship with paid vacation taken.
In case of missing follow-up values, a last-observation carried forward (LOCF) imputation will be performed, that is, the baseline determination will be imputed as follow-up determination.
In 'passive imputation' a value X* is imputed for X and then X2 is imputed as (X*).
Missing baseline data were imputed as a 'missing' category for discrete covariates or using simple conditional mean imputation (White and Thompson, 2005) for continuous covariates.
To cope with that, the gaps in the original time series were imputed as a preprocessing phase.
The missing data has to be imputed as the inferences made from complete data are often more accurate and reliable than those made from incomplete data [15].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com