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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2022
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| Materias: | |
| 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 |