Simulation study

Passive imputation and parcel summaries are both valid to handle missing items in studies with many multi-item scales

© 2016, © The Author(s) 2016. Previous studies showed that missing data in multi-item scales can best be handled by multiple imputation of item scores. However, when many scales are used, the number of items will become too large for the imputation …

Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: Power and applicability analysis

© 2017 The Author(s). Background: Multiple imputation is a recommended method to handle missing data. For significance testing after multiple imputation, Rubin's Rules (RR) are easily applied to pool parameter estimates. In a logistic regression …