The mixed model for repeated measures for cluster randomized trials: a simulation study investigating bias and type I error with missing continuous data

The mixed model for repeated measures for cluster randomized trials: a simulation study investigating bias and type I error with missing continuous data

Abstract Background Cluster randomized trials (CRTs) are a design used to test interventions where individual randomization is not appropriate. The mixed model for repeated measures (MMRM) is a popular choice for individually randomized trials with longitudinal continuous outcomes. This model’s appe...

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Bibliographic Details
Main Authors: Melanie L. Bell, Brooke A. Rabe
Format: Article
Language:English
Published: BMC 2020-02-01
Series:Trials
Subjects:
Missing data
Dropout
Variance components
Intention-to-treat
Cluster trials
Group randomized trials
Online Access:https://doi.org/10.1186/s13063-020-4114-9

Internet

https://doi.org/10.1186/s13063-020-4114-9

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