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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Bibliographic Details
Main Authors: Ilja Cornelisz, Pim Cuijpers, Tara Donker, Chris van Klaveren
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0234349