The split-plot design was useful for evaluating complex, multilevel interventions, but there is need for improvement in its design and report

The split-plot design was useful for evaluating complex, multilevel interventions, but there is... ObjectivesTo describe the sample size calculation, analysis and reporting of split-plot (S-P) randomized controlled trials in health care (trials that use two units of randomization: one at a cluster-level and one at a level lower than the cluster). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Clinical Epidemiology Elsevier

The split-plot design was useful for evaluating complex, multilevel interventions, but there is need for improvement in its design and report

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Inc.
ISSN
0895-4356
D.O.I.
10.1016/j.jclinepi.2017.10.019
Publisher site
See Article on Publisher Site

Abstract

ObjectivesTo describe the sample size calculation, analysis and reporting of split-plot (S-P) randomized controlled trials in health care (trials that use two units of randomization: one at a cluster-level and one at a level lower than the cluster).

Journal

Journal of Clinical EpidemiologyElsevier

Published: Apr 1, 2018

References

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