Pages that link to "Item:Q4960731"
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The following pages link to Generating missing values for simulation purposes: a multivariate amputation procedure (Q4960731):
Displaying 10 items.
- A note on imputing squares via polynomial combination approach (Q2095747) (← 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)
- Adaptive Bayesian SLOPE: Model Selection With Incomplete Data (Q5083360) (← links)
- Clustering and Prediction With Variable Dimension Covariates (Q5084445) (← links)
- Iterative Multiple Imputation: A Framework to Determine the Number of Imputed Datasets (Q5869267) (← links)
- Estimating longitudinal change in latent variable means: a comparison of non-negative matrix factorization and other item non-response methods (Q5887971) (← links)
- Toward a standardized evaluation of imputation methodology (Q6625355) (← links)
- A new method for clustered survival data: estimation of treatment effect heterogeneity and variable selection (Q6625363) (← links)
- Estimation and evaluation of individualized treatment rules following multiple imputation (Q6626955) (← links)
- The impact of misclassifications and outliers on imputation methods (Q6662604) (← links)
