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ITSQ subscale scores are calculated by imputing the missing values based on the mean of the non-missing items [ 30].
Linear Interpolation infers the missing values based on a weighted average of the neighboring known samples based on the temporal distance.
For such data, we are often interested in predicting the missing values based on the observations (for example, recommendation systems of Amazon or Netflix).
This is so because as we have a high percentage of missing information on stunting (16% of all children aged 6 59 months), we imputed the missing values based on different rules in order to verify whether the exclusion of these children from our analysis introduced bias to our estimates.
We did, however, impute missing values based on a large number of other variables.
The algorithm estimates missing values based on the mean values of a person's relatives.
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5) Single Regression A regression model was built to predict the missing value based on cases with complete data.
Briefly, multiple different imputed datasets (m > 1) are created, and a set of random plausible values replace each missing value, based on known subject characteristics and other predictors in the complete dataset.
The contribution of the non-missing covariates to the distribution of missing values is based on modelling the non-missing co-variates in complete cases to predict the likely value of the variable in records where it is missing.
This suggests that one needs to approach the filling of missing values differently based on the probability of a spot being a truly missing protein or one that is missing due to the process of gel creation.
The substitution of missing values is based on the scale instructions given by the developers of the questionnaire [ 9, 27].
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missing values excluded
missing parameters based
missing models based
missing genotypes based
missing values related
missing textures based
missing areas based
missing outcomes based
missing variables based
missing data based
missing frequencies based
missing measurements based
missing points based
missing values imputed
missing intensities based
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