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dc.contributor.authorHooper, R
dc.contributor.authorCopas, A
dc.date.accessioned2020-11-30T15:01:58Z
dc.date.available2020-09-18
dc.date.available2020-11-30T15:01:58Z
dc.identifier.issn1740-7745
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/68807
dc.description.abstractCluster randomised trials, like individually randomised trials, may benefit from a baseline period of data collection. We consider trials in which clusters prospectively recruit or identify participants as a continuous process over a given calendar period, and ask whether and for how long investigators should collect baseline data as part of the trial, in order to maximise precision.
dc.publisherSAGE Publicationsen_US
dc.relation.ispartofClinical Trials
dc.rightsThis is a pre-copyedited, author-produced version accepted for publication in Clinical Trials following peer review. The version of record is available https://journals.sagepub.com/doi/10.1177/1740774520976564
dc.titleOptimal design of cluster randomised trials with continuous recruitment and prospective baseline perioden_US
dc.typeArticleen_US
dc.rights.holder© 2022 by The Society for Clinical Trials
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
dcterms.dateAccepted2020-09-18


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