<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ouyang Y</submitter><funding>NCATS NIH HHS</funding><funding>National Institute of Aging</funding><funding>NIA NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIH</funding><funding>NIA Imbedded Pragmatic Alzheimer&amp;apos;s Disease and AD-Related Dementias Clinical Trials Collaboratory</funding><funding>Canadian Institutes of Health Research</funding><funding>CIHR</funding><pagination>2000-2013</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9749719</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>51(6)</volume><pubmed_abstract>Recent years have seen a surge of interest in stepped-wedge cluster randomized trials (SW-CRTs). SW-CRTs include several design variations and methodology is rapidly developing. Accordingly, a variety of power and sample size calculation software for SW-CRTs has been developed. However, each calculator may support only a selected set of design features and may not be appropriate for all scenarios. Currently, there is no resource to assist researchers in selecting the most appropriate calculator for planning their trials. In this paper, we review and classify 18 existing calculators that can be implemented in major platforms, such as R, SAS, Stata, Microsoft Excel, PASS and nQuery. After reviewing the main sample size considerations for SW-CRTs, we summarize the features supported by the av</pubmed_abstract><journal>International journal of epidemiology</journal><pubmed_title>Sample size calculators for planning stepped-wedge cluster randomized trials: a review and comparison.</pubmed_title><pmcid>PMC9749719</pmcid><funding_grant_id>U54 AG063546</funding_grant_id><funding_grant_id>UL1 TR001863</funding_grant_id><funding_grant_id>U54AG063546</funding_grant_id><pubmed_authors>Preisser JS</pubmed_authors><pubmed_authors>Taljaard M</pubmed_authors><pubmed_authors>Li F</pubmed_authors><pubmed_authors>Ouyang Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Sample size calculators for planning stepped-wedge cluster randomized trials: a review and comparison.</name><description>Recent years have seen a surge of interest in stepped-wedge cluster randomized trials (SW-CRTs). SW-CRTs include several design variations and methodology is rapidly developing. Accordingly, a variety of power and sample size calculation software for SW-CRTs has been developed. However, each calculator may support only a selected set of design features and may not be appropriate for all scenarios. Currently, there is no resource to assist researchers in selecting the most appropriate calculator for planning their trials. In this paper, we review and classify 18 existing calculators that can be implemented in major platforms, such as R, SAS, Stata, Microsoft Excel, PASS and nQuery. After reviewing the main sample size considerations for SW-CRTs, we summarize the features supported by the av</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2025-04-19T08:12:48.153Z</modification><creation>2025-04-19T08:12:48.153Z</creation></dates><accession>S-EPMC9749719</accession><cross_references><pubmed>35679584</pubmed><doi>10.1093/ije/dyac123</doi></cross_references></HashMap>