Multiple imputation of missing covariate values in multilevel models with random slopes: a cautionary note.
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Explicating the Conditions Under Which Multilevel Multiple Imputation Mitigates Bias Resulting from Random Coefficient-Dependent Missing Longitudinal Data.Blood kinetics of Ebola virus in survivors and nonsurvivors.Biases in multilevel analyses caused by cluster-specific fixed-effects imputation.Hierarchical imputation of systematically and sporadically missing data: An approximate Bayesian approach using chained equations.Does pattern mixture modelling reduce bias due to informative attrition compared to fitting a mixed effects model to the available cases or data imputed using multiple imputation?: a simulation study
P2860
Multiple imputation of missing covariate values in multilevel models with random slopes: a cautionary note.
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name
Multiple imputation of missing ...... dom slopes: a cautionary note.
@en
type
label
Multiple imputation of missing ...... dom slopes: a cautionary note.
@en
prefLabel
Multiple imputation of missing ...... dom slopes: a cautionary note.
@en
P2860
P1476
Multiple imputation of missing ...... dom slopes: a cautionary note.
@en
P2093
Simon Grund
P2860
P2888
P304
P356
10.3758/S13428-015-0590-3
P577
2015-05-05T00:00:00Z
P6179
1022342443
P698
P818
1606.05204