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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Detalles Bibliográficos
Autores principales: Cornelisz, Ilja, Cuijpers, Pim, Donker, Tara, van Klaveren, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337281/
https://www.ncbi.nlm.nih.gov/pubmed/32628678
http://dx.doi.org/10.1371/journal.pone.0234349

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337281/
https://www.ncbi.nlm.nih.gov/pubmed/32628678
http://dx.doi.org/10.1371/journal.pone.0234349

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