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Addressing missing data in randomized clinical trials: A causal inference perspective
BACKGROUND: The importance of randomization in clinical trials has long been acknowledged for avoiding selection bias. Yet, bias concerns re-emerge with selective attrition. This study takes a causal inference perspective in addressing distinct scenarios of missing outcome data (MCAR, MAR and MNAR)....
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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7337281/ https://ncbi.nlm.nih.gov/pubmed/32628678 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0234349 |
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