Literature DB >> 29037472

Sample size estimation for cluster randomized controlled trials.

Daniel Cury Ribeiro1, Stephan Milosavljevic2, J Haxby Abbott3.   

Abstract

Cluster randomized controlled trials (cRCTs) are commonly used by clinical researchers. The advantages of cRCTs include preventing treatment contamination, enhancing administrative efficiency, convenience, external validity, ethical considerations, and likelihood of increased compliance by participants. However, when designing a cRCT, clinical researchers are faced with challenges, such as cluster units that may not have an equal number of participants within each. In this Technical Note, we discuss approaches for estimating the sample size, while taking into account unequal cluster sizes, and strategies for optimizing the design of cluster trials.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cluster randomized trial; Design effect; Sample size; Unequal cluster size

Mesh:

Year:  2017        PMID: 29037472     DOI: 10.1016/j.msksp.2017.10.002

Source DB:  PubMed          Journal:  Musculoskelet Sci Pract        ISSN: 2468-7812            Impact factor:   2.520


  7 in total

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7.  Risk-guided maternity care to enhance maternal empowerment postpartum: A cluster randomized controlled trial.

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  7 in total

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