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Variable selection under multiple imputation using the bootstrap in a prognostic study
BACKGROUND: Missing data is a challenging problem in many prognostic studies. Multiple imputation (MI) accounts for imputation uncertainty that allows for adequate statistical testing. We developed and tested a methodology combining MI with bootstrapping techniques for studying prognostic variable s...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1945032/ https://ncbi.nlm.nih.gov/pubmed/17629912 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-7-33 |
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