Pages that link to "Item:Q3299130"
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The following pages link to Multiple imputation in the presence of an incomplete binary variable created from an underlying continuous variable (Q3299130):
Displaying 9 items.
- On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept (Q1023557) (← links)
- Linear regression models with incomplete categorical covariates (Q1855635) (← links)
- 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) (← links)
- Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables (Q2445680) (← links)
- Combining the complete-data and nonresponse models for drawing imputations under MAR (Q2862386) (← links)
- Analyzing data with missing continuous covariates by multiple imputation using proper impu\-tation (Q2904354) (← links)
- Multiple Imputation Approaches for the Analysis of Dichotomized Responses in Longitudinal Studies with Missing Data (Q3076052) (← links)
- Rounding Strategies for Multiply Imputed Binary Data (Q5123242) (← links)
- Practical Advice on How to Impute Continuous Data When the Ultimate Interest Centers on Dichotomized Outcomes Through Pre-Specified Thresholds (Q5436403) (← links)
