Evaluation of Four Multiple Imputation Methods for Handling Missing Binary Outcome Data in the Presence of an Interaction between a Dummy and a Continuous Variable

<div>Comparison of the performance of imputation methods for real dataset based on the proportion of the variation attributable to the missing data (<i>λ</i>) for the interaction effect.</div>

Journal of Probability and Statistics

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Figure 6

Figure 6: Evaluation of Four Multiple Imputation Methods for Handling Missing Binary Outcome Data in the Presence of an Interaction between a Dummy and a Continuous Variable 

Figure 6 | Evaluation of Four Multiple Imputation Methods for Handling Missing Binary Outcome Data in the Presence of an Interaction between a Dummy and a Continuous Variable 