[HTML][HTML] Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach
S Grund, O Lüdtke, A Robitzsch - Behavior Research Methods, 2021 - Springer
Multilevel models often include nonlinear effects, such as random slopes or interaction
effects. The estimation of these models can be difficult when the underlying variables …
effects. The estimation of these models can be difficult when the underlying variables …
Multiple imputation of missing data in multilevel models with the R package mdmb: A flexible sequential modeling approach.
S Grund, O Lüdtke, A Robitzsch - Behavior Research Methods, 2021 - psycnet.apa.org
Multilevel models often include nonlinear effects, such as random slopes or interaction
effects. The estimation of these models can be difficult when the underlying variables …
effects. The estimation of these models can be difficult when the underlying variables …
Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach.
S Grund, O Lüdtke, A Robitzsch - Behavior Research Methods, 2021 - go.gale.com
Multilevel models often include nonlinear effects, such as random slopes or interaction
effects. The estimation of these models can be difficult when the underlying variables …
effects. The estimation of these models can be difficult when the underlying variables …
Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach.
S Grund, O Lüdtke, A Robitzsch - Behavior Research …, 2021 - search.ebscohost.com
Multilevel models often include nonlinear effects, such as random slopes or interaction
effects. The estimation of these models can be difficult when the underlying variables …
effects. The estimation of these models can be difficult when the underlying variables …
[HTML][HTML] Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach
S Grund, O Lüdtke, A Robitzsch - Behavior Research Methods, 2021 - ncbi.nlm.nih.gov
Multilevel models often include nonlinear effects, such as random slopes or interaction
effects. The estimation of these models can be difficult when the underlying variables …
effects. The estimation of these models can be difficult when the underlying variables …
Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach
S Grund, O Lüdtke, A Robitzsch - Behavior research …, 2021 - pubmed.ncbi.nlm.nih.gov
Multilevel models often include nonlinear effects, such as random slopes or interaction
effects. The estimation of these models can be difficult when the underlying variables …
effects. The estimation of these models can be difficult when the underlying variables …
[PDF][PDF] Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach
S Grund, O Ludtke, A Robitzsch - Behavior Research Methods, 2021 - midus.wisc.edu
Multilevel models often include nonlinear effects, such as random slopes or interaction
effects. The estimation of these models can be difficult when the underlying variables …
effects. The estimation of these models can be difficult when the underlying variables …
[PDF][PDF] Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach
S Grund, O Ludtke, A Robitzsch - Behavior Research Methods, 2021 - midus.wisc.edu
Multilevel models often include nonlinear effects, such as random slopes or interaction
effects. The estimation of these models can be difficult when the underlying variables …
effects. The estimation of these models can be difficult when the underlying variables …
Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach.
S Grund, O Lüdtke, A Robitzsch - Behavior Research Methods, 2021 - europepmc.org
Multilevel models often include nonlinear effects, such as random slopes or interaction
effects. The estimation of these models can be difficult when the underlying variables …
effects. The estimation of these models can be difficult when the underlying variables …