Statistical analysis and handling of missing data in cluster randomised trials: protocol for a systematic review

Persistent Link:
http://hdl.handle.net/10150/617201
Title:
Statistical analysis and handling of missing data in cluster randomised trials: protocol for a systematic review
Author:
Fiero, M.; Huang, S.; Bell, M. L.
Affiliation:
Division of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona
Issue Date:
2015-05-13
Publisher:
BMJ
Citation:
Statistical analysis and handling of missing data in cluster randomised trials: protocol for a systematic review 2015, 5 (5):e007378 BMJ Open
Journal:
BMJ Open
Rights:
This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license.
Collection Information:
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
Abstract:
Introduction: Cluster randomised trials (CRTs) randomise participants in groups, rather than as individuals, and are key tools used to assess interventions in health research where treatment contamination is likely or if individual randomisation is not feasible. Missing outcome data can reduce power in trials, including in CRTs, and is a potential source of bias. The current review focuses on evaluating methods used in statistical analysis and handling of missing data with respect to the primary outcome in CRTs. Methods and analysis: We will search for CRTs published between August 2013 and July 2014 using PubMed, Web of Science and PsycINFO. We will identify relevant studies by screening titles and abstracts, and examining full-text articles based on our predefined study inclusion criteria. 86 studies will be randomly chosen to be included in our review. Two independent reviewers will collect data from each study using a standardised, prepiloted data extraction template. Our findings will be summarised and presented using descriptive statistics. Ethics and dissemination: This methodological systematic review does not need ethical approval because there are no data used in our study that are linked to individual patient data. After completion of this systematic review, data will be immediately analysed, and findings will be disseminated through a peer-reviewed publication and conference presentation.
Description:
UA Open Access Publishing Fund.
Note:
Open access.
ISSN:
2044-6055
DOI:
10.1136/bmjopen-2014-007378
Version:
Final published version
Additional Links:
http://bmjopen.bmj.com/cgi/doi/10.1136/bmjopen-2014-007378

Full metadata record

DC FieldValue Language
dc.contributor.authorFiero, M.en
dc.contributor.authorHuang, S.en
dc.contributor.authorBell, M. L.en
dc.date.accessioned2016-07-19T01:38:34Z-
dc.date.available2016-07-19T01:38:34Z-
dc.date.issued2015-05-13-
dc.identifier.citationStatistical analysis and handling of missing data in cluster randomised trials: protocol for a systematic review 2015, 5 (5):e007378 BMJ Openen
dc.identifier.issn2044-6055-
dc.identifier.doi10.1136/bmjopen-2014-007378-
dc.identifier.urihttp://hdl.handle.net/10150/617201-
dc.descriptionUA Open Access Publishing Fund.en
dc.description.abstractIntroduction: Cluster randomised trials (CRTs) randomise participants in groups, rather than as individuals, and are key tools used to assess interventions in health research where treatment contamination is likely or if individual randomisation is not feasible. Missing outcome data can reduce power in trials, including in CRTs, and is a potential source of bias. The current review focuses on evaluating methods used in statistical analysis and handling of missing data with respect to the primary outcome in CRTs. Methods and analysis: We will search for CRTs published between August 2013 and July 2014 using PubMed, Web of Science and PsycINFO. We will identify relevant studies by screening titles and abstracts, and examining full-text articles based on our predefined study inclusion criteria. 86 studies will be randomly chosen to be included in our review. Two independent reviewers will collect data from each study using a standardised, prepiloted data extraction template. Our findings will be summarised and presented using descriptive statistics. Ethics and dissemination: This methodological systematic review does not need ethical approval because there are no data used in our study that are linked to individual patient data. After completion of this systematic review, data will be immediately analysed, and findings will be disseminated through a peer-reviewed publication and conference presentation.en
dc.language.isoenen
dc.publisherBMJen
dc.relation.urlhttp://bmjopen.bmj.com/cgi/doi/10.1136/bmjopen-2014-007378en
dc.rightsThis is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license.en
dc.titleStatistical analysis and handling of missing data in cluster randomised trials: protocol for a systematic reviewen
dc.typeArticleen
dc.contributor.departmentDivision of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizonaen
dc.identifier.journalBMJ Openen
dc.description.noteOpen access.en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
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