Sample size calculation for cluster randomized cross-over trials

The cluster randomized cross‐over design has been proposed in particular because it prevents an imbalance that may bring into question the internal validity of parallel group cluster trials. We derived a sample size formula for continuous outcomes that takes into account both the intraclass correlat...

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Veröffentlicht in:	Statistics in medicine 2008-11, Vol.27 (27), p.5578-5585
Hauptverfasser:	Giraudeau, B., Ravaud, P., Donner, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Blood Glucose - analysis Cluster Analysis cluster randomized trial common correlation model Correlation analysis cross-over Cross-Over Studies Data Interpretation, Statistical Drug Therapy, Computer-Assisted experimental design Humans Hypoglycemic Agents - administration & dosage Insulin - administration & dosage Intensive Care Units Models, Statistical Randomized Controlled Trials as Topic Research Design Sample Size Time Factors Validity
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Zusammenfassung:	The cluster randomized cross‐over design has been proposed in particular because it prevents an imbalance that may bring into question the internal validity of parallel group cluster trials. We derived a sample size formula for continuous outcomes that takes into account both the intraclass correlation coefficient (representing the clustering effect) and the interperiod correlation (induced by the cross‐over design). Copyright © 2008 John Wiley & Sons, Ltd.
ISSN:	0277-6715 1097-0258
DOI:	10.1002/sim.3383