When and how should multiple imputation be used for handling missing data in randomised clinical trials – a practical guide with flowcharts
Abstract Background Missing data may seriously compromise inferences from randomised clinical trials, especially if missing data are not handled appropriately. The potential bias due to missing data depends on the mechanism causing the data to be missing, and the analytical methods applied to amend...
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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: |
BMC
2017-12-01
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| シリーズ: | BMC Medical Research Methodology |
| 主題: | |
| オンライン･アクセス: | http://link.springer.com/article/10.1186/s12874-017-0442-1 |
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