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Handling Missing Data in Matched Case-Control Studies Using Multiple Imputation

Analysis of matched case-control studies is often complicated by missing data on covariates. Analysis can be restricted to individuals with complete data, but this is inefficient and may be biased. Multiple imputation (MI) is an efficient and flexible alternative. We describe two MI approaches. The...

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Bibliografiset tiedot
Julkaisussa:Biometrics
Päätekijät: Seaman, Shaun R., Keogh, Ruth H.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2015
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC4847641/
https://ncbi.nlm.nih.gov/pubmed/26237003
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12358
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