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Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data
BACKGROUND: Multiple Imputation as usually implemented assumes that data are Missing At Random (MAR), meaning that the underlying missing data mechanism, given the observed data, is independent of the unobserved data. To explore the sensitivity of the inferences to departures from the MAR assumption...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3537570/ https://ncbi.nlm.nih.gov/pubmed/22681630 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-12-73 |
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