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Binary variable multiple-model multiple imputation to address missing data mechanism uncertainty: Application to a smoking cessation trial
The true missing data mechanism is never known in practice. We present a method for generating multiple imputations for binary variables that formally incorporates missing data mechanism uncertainty. Imputations are generated from a distribution of imputation models rather than a single model, with...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4082461/ https://ncbi.nlm.nih.gov/pubmed/24634315 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6137 |
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