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Multiple Imputation and Checking Regression Assumptions - What Data Should We Use?
If you use multiple imputation for missing data in a regression analysis you have to check the regression assumptions (e.g. normality, homoskedasticity, linearity). This tutorial explains what data (cases with complete data or imputed datasets) you should use for the assumption checks in a linear regression with multiple imputation, depending ...
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