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Multiple Imputation for Incomplete Data in Epidemiologic Studies
Epidemiologic studies are frequently susceptible to missing information. Omitting observations with missing variables remains a common strategy in epidemiologic studies, yet this simple approach can often severely bias parameter estimates of interest if the values are not missing completely at rando...
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| 出版年: | Am J Epidemiol |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860387/ https://ncbi.nlm.nih.gov/pubmed/29165547 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwx349 |
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