A Tutorial for Handling Suspected Missing Not at Random Data in Longitudinal Clinical Trials
Missing data in longitudinal randomized clinical trials, even if assumed to be missing at random (MAR), can result in biased parameter estimates and incorrect treatment conclusions. If missing data are suspected to be missing not at random (MNAR, i.e., missing data due to the unobserved values thems...
Main Authors: | Peugh, James L., Toland, Michael D., Harrison, Heather |
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Format: | Article |
Language: | English |
Published: |
Université d'Ottawa
2023-12-01
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Series: | Tutorials in Quantitative Methods for Psychology |
Subjects: | |
Online Access: | https://www.tqmp.org/RegularArticles/vol19-4/p347/p347.pdf |
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