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Those valued will be replaced using different systems such as last registered values and imputations.
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This is illustrated in Figure 10c, where a synthetic population of 5000 individuals was generated using the method of the 2nd case study, and the growing percentage of missing answers (x-axis) was replaced using different imputation strategies (average, fitting a normal distribution, replacing by a constant).
Missing data will be replaced using a maximum likelihood approach.
Missing values will be replaced using multivariate imputation techniques.
Missing values were replaced using multiple imputation.
Missing values were replaced using linear extrapolation.
Missing data were replaced using a simple exponential smoothing method.
Missing baseline data were replaced using multiple imputations.
Previous exposure values will be replaced by using this method.
The MVs are replaced by using the different replacement methods.
Missing values will be replaced and estimated using multiple imputations.
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