Pages that link to "Item:Q5436403"
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The following pages link to Practical Advice on How to Impute Continuous Data When the Ultimate Interest Centers on Dichotomized Outcomes Through Pre-Specified Thresholds (Q5436403):
Displaying 8 items.
- A nonnormal look at polychoric correlations: modeling the change in correlations before and after discretization (Q333373) (← links)
- On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept (Q1023557) (← links)
- An ECM Estimation Approach for Analyzing Multivariate Skew-Normal Data with Dropout (Q3168340) (← links)
- Imputing continuous data under some non‐Gaussian distributions (Q3525714) (← links)
- An Appraisal of Methods for the Analysis of Longitudinal Ordinal Response Data with Random Dropout Using a Nonhomogeneous Markov Model (Q3578981) (← links)
- Multiple Imputation for Longitudinal Data Under a Bayesian Multilevel Model (Q3645008) (← links)
- A distance-based rounding strategy for post-imputation ordinal data (Q5123543) (← links)
- Multiple imputation of semi-continuous exposure variables that are categorized for analysis (Q6628314) (← links)
