Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships

Three‐level data arising from repeated measures on individuals clustered within higher‐level units are common in medical research. A complexity arises when individuals change clusters over time, resulting in a cross‐classified data structure. Missing values in these studies are commonly handled via...

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Detalles Bibliográficos
Autores principales: Wijesuriya, Rushani, Moreno‐Betancur, Margarita, Carlin, John, De Silva, Anurika Priyanjali, Lee, Katherine Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540355/
https://www.ncbi.nlm.nih.gov/pubmed/35893317
http://dx.doi.org/10.1002/sim.9515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540355/
https://www.ncbi.nlm.nih.gov/pubmed/35893317
http://dx.doi.org/10.1002/sim.9515

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