Anna C Snavely, Heather J Gunn, Ju-Whei Lee, Stephanie L Pugh, William E Barlow, Eva Culakova, Kathryn B Arnold, Carol A Kittel, Sydney Smith, Bret M Hanlon, Angelina D Tan, Travis Dockter, David Zahrieh, Emily V Dressler
{"title":"Intracluster correlation coefficients from cluster randomized trials conducted within the NCI Community Oncology Research Program (NCORP).","authors":"Anna C Snavely, Heather J Gunn, Ju-Whei Lee, Stephanie L Pugh, William E Barlow, Eva Culakova, Kathryn B Arnold, Carol A Kittel, Sydney Smith, Bret M Hanlon, Angelina D Tan, Travis Dockter, David Zahrieh, Emily V Dressler","doi":"10.1093/jncimonographs/lgae048","DOIUrl":null,"url":null,"abstract":"<p><p>The intracluster correlation coefficient (ICC) measures the correlation of observations within clusters and is a key parameter for power and sample size calculations for cluster randomized trials (CRTs). To facilitate the design of future CRTs within the National Cancer Institute Community Oncology Research Program (NCORP), all studies from the NCORP website were reviewed to identify completed CRTs. ICCs for primary and secondary outcomes (when available) were ascertained from these trials and summarized in this article as a resource for future trial development. Although ICCs are relatively small for many outcome cluster combinations, that is not always the case, so consideration should always be given to the specific outcome of interest, trial design, and type of cluster when estimating an ICC to facilitate trial development.</p>","PeriodicalId":73988,"journal":{"name":"Journal of the National Cancer Institute. Monographs","volume":"2025 68","pages":"65-72"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11848034/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the National Cancer Institute. Monographs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jncimonographs/lgae048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The intracluster correlation coefficient (ICC) measures the correlation of observations within clusters and is a key parameter for power and sample size calculations for cluster randomized trials (CRTs). To facilitate the design of future CRTs within the National Cancer Institute Community Oncology Research Program (NCORP), all studies from the NCORP website were reviewed to identify completed CRTs. ICCs for primary and secondary outcomes (when available) were ascertained from these trials and summarized in this article as a resource for future trial development. Although ICCs are relatively small for many outcome cluster combinations, that is not always the case, so consideration should always be given to the specific outcome of interest, trial design, and type of cluster when estimating an ICC to facilitate trial development.