Pages that link to "Item:Q2039155"
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The following pages link to 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 (Q2039155):
Displaying 5 items.
- Recursive partitioning on incomplete data using surrogate decisions and multiple imputation (Q434924) (← links)
- Recursive partitioning for missing data imputation in the presence of interaction effects (Q1623390) (← links)
- Navigating choices when applying multiple imputation in the presence of multi-level categorical interaction effects (Q1731416) (← links)
- An evaluation of methods to handle missing data in the context of latent variable interaction analysis: multiple imputation, maximum likelihood, and random forest algorithm (Q2103281) (← links)
- Multiple imputation in the presence of an incomplete binary variable created from an underlying continuous variable (Q3299130) (← links)
