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Imputation strategies for missing binary outcomes in cluster randomized trials
BACKGROUND: Attrition, which leads to missing data, is a common problem in cluster randomized trials (CRTs), where groups of patients rather than individuals are randomized. Standard multiple imputation (MI) strategies may not be appropriate to impute missing data from CRTs since they assume indepen...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3055218/ https://ncbi.nlm.nih.gov/pubmed/21324148 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-11-18 |
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