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Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model
Missing covariate data commonly occur in epidemiological and clinical research, and are often dealt with using multiple imputation. Imputation of partially observed covariates is complicated if the substantive model is non-linear (e.g. Cox proportional hazards model), or contains non-linear (e.g. sq...
Enregistré dans:
| Publié dans: | Stat Methods Med Res |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
SAGE Publications
2015
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4513015/ https://ncbi.nlm.nih.gov/pubmed/24525487 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280214521348 |
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