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Exact(7)
In total, we imputed 219 missing values into informed choice.
We took the pragmatic decision of putting missing values into a separate category.
The final multivariable regression model was rerun after redistributing missing values into the lowest and highest categories for each of these variables.
We then introduced random missing values into the test set as before and performed the same comparative study of the four imputation methods.
Basically, we added the auxiliary variables, introduced additional random error into the MAR conditions and put missing values into all variables except the response, because we wanted to create typical conditions for small and moderate sample medical research.
In the multivariable logistic regression analysis, we used the missing indicator method to take missing values into account to justify the comparison of different models, particularly when a multivariable regression model was conducted.
Similar(53)
The analysis with all missing values recoded into separate categories yielded very similar results (data not shown).
Following export and examination of the behavior analysis profile, tracks were interpolated to replace missing values and exported into Excel spreadsheets (see [50], [92] for details).
Missing values were extracted into a separate group (Table 4).
Missing values are taken into account using this method.
Missing values were entered into the database as unknown.
Related(15)
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