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Appropriate inclusion of interactions was needed to avoid bias in multiple imputation
OBJECTIVE: Missing data are a pervasive problem, often leading to bias in complete records analysis (CRA). Multiple imputation (MI) via chained equations is one solution, but its use in the presence of interactions is not straightforward. STUDY DESIGN AND SETTING: We simulated data with outcome Y de...
שמור ב:
| הוצא לאור ב: | J Clin Epidemiol |
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| Main Authors: | , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Elsevier
2016
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5176003/ https://ncbi.nlm.nih.gov/pubmed/27445178 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jclinepi.2016.07.004 |
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