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Handling missing data in modelling quality of clinician-prescribed routine care: Sensitivity analysis of departure from Missing at Random (MAR) assumption
Missing information is a major drawback in analysing data collected in many routine health care settings. Multiple imputation (MI) assuming a missing at random (MAR) mechanism is a popular method to handle missing data. The MAR assumption cannot be confirmed from the observed data alone, hence the n...
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| 發表在: | Stat Methods Med Res |
|---|---|
| Main Authors: | , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7116368/ https://ncbi.nlm.nih.gov/pubmed/32390503 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280220918279 |
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