Literature DB >> 18646266

Sample size calculation for cluster randomized cross-over trials.

B Giraudeau1, P Ravaud, A Donner.   

Abstract

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 (c) 2008 John Wiley & Sons, Ltd.

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Year:  2008        PMID： 18646266     DOI： 10.1002/sim.3383

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


  28 in total

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2.  The quality of reporting in cluster randomised crossover trials: proposal for reporting items and an assessment of reporting quality.

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6.  Design effect in multicenter studies: gain or loss of power?

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Journal:  BMC Med Res Methodol       Date:  2009-06-18       Impact factor: 4.615

7.  Power and sample size requirements for GEE analyses of cluster randomized crossover trials.

Authors:  Fan Li; Andrew B Forbes; Elizabeth L Turner; John S Preisser
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9.  Empirical power and sample size calculations for cluster-randomized and cluster-randomized crossover studies.

Authors:  Nicholas G Reich; Jessica A Myers; Daniel Obeng; Aaron M Milstone; Trish M Perl
Journal:  PLoS One       Date:  2012-04-27       Impact factor: 3.240

10.  Impact of tracheal cuff shape on microaspiration of gastric contents in intubated critically ill patients: study protocol for a randomized controlled trial.

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Journal:  Trials       Date:  2015-09-25       Impact factor: 2.279
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