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Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model
Multiple imputation (MI) is increasingly popular for handling multivariate missing data. Two general approaches are available in standard computer packages: MI based on the posterior distribution of incomplete variables under a multivariate (joint) model, and fully conditional specification (FCS), w...
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| Publicado no: | Biom J |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7614826/ https://ncbi.nlm.nih.gov/pubmed/31919921 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.201900051 |
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