A Tutorial for Handling Suspected Missing Not at Random Data in Longitudinal Clinical Trials

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...

Full description

Bibliographic Details
Main Authors: Peugh, James L., Toland, Michael D., Harrison, Heather
Format: Article
Language:English
Published: Université d'Ottawa 2023-12-01
Series:Tutorials in Quantitative Methods for Psychology
Subjects:
mnar
missing data
pattern mixture
selection
mplus
Online Access:https://www.tqmp.org/RegularArticles/vol19-4/p347/p347.pdf

Internet

https://www.tqmp.org/RegularArticles/vol19-4/p347/p347.pdf

Similar Items