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Multiple imputation methods for longitudinal blood pressure measurements from the Framingham Heart Study

Missing data are a great concern in longitudinal studies, because few subjects will have complete data and missingness could be an indicator of an adverse outcome. Analyses that exclude potentially informative observations due to missing data can be inefficient or biased. To assess the extent of the...

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Detalhes bibliográficos
Main Authors: Kang, Terri, Kraft, Peter, Gauderman, W James, Thomas, Duncan
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2003
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC1866479/
https://ncbi.nlm.nih.gov/pubmed/14975111
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2156-4-S1-S43
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