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Empirical Power and Sample Size Calculations for Cluster-Randomized and Cluster-Randomized Crossover...

Empirical Power and Sample Size Calculations for Cluster-Randomized and Cluster-Randomized Crossover...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1324590240

Empirical Power and Sample Size Calculations for Cluster-Randomized and Cluster-Randomized Crossover Studies

About this item

Full title

Empirical Power and Sample Size Calculations for Cluster-Randomized and Cluster-Randomized Crossover Studies

Publisher

United States: Public Library of Science

Journal title

PloS one, 2012-04, Vol.7 (4), p.e35564-e35564

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

In recent years, the number of studies using a cluster-randomized design has grown dramatically. In addition, the cluster-randomized crossover design has been touted as a methodological advance that can increase efficiency of cluster-randomized studies in certain situations. While the cluster-randomized crossover trial has become a popular tool, st...

Alternative Titles

Full title

Empirical Power and Sample Size Calculations for Cluster-Randomized and Cluster-Randomized Crossover Studies

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1324590240

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1324590240

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0035564

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