Evaluating the performance of Bayesian and restricted maximum likelihood estimation for stepped wedge cluster randomized trials with a small number of clusters

Evaluating the performance of Bayesian and restricted maximum likelihood estimation for stepped wedge cluster randomized trials with a small number of clusters

Abstract Background Stepped wedge trials are an appealing and potentially powerful cluster randomized trial design. However, they are frequently implemented with a small number of clusters. Standard analysis methods for these trials such as a linear mixed model with estimation via maximum likelihood...

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Bibliographic Details
Main Authors: Kelsey L. Grantham, Jessica Kasza, Stephane Heritier, John B. Carlin, Andrew B. Forbes
Format: Article
Language:English
Published: BMC 2022-04-01
Series:BMC Medical Research Methodology
Subjects:
Bayesian inference
Cluster randomized trial
Intracluster correlation
Restricted maximum likelihood
Simulation study
Stepped wedge
Online Access:https://doi.org/10.1186/s12874-022-01550-8

Internet

https://doi.org/10.1186/s12874-022-01550-8

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