Clustering in surgical trials - database of intracluster correlations
Randomised trials evaluation of surgical interventions are often designed and analysed as if the outcome of individual patients is independent of the surgeon providing the intervention. There is reason to expect outcomes for patients treated by the same surgeon tend to be more similar than those und...
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| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
4 January 2012
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| In: |
Trials
Year: 2012, Jahrgang: 13 |
| ISSN: | 1468-6694 |
| DOI: | 10.1186/1745-6215-13-2 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1186/1745-6215-13-2 Verlag, kostenfrei, Volltext: https://doi.org/10.1186/1745-6215-13-2 
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| Verfasserangaben: | Jonathan A. Cook, Thomas Bruckner, Graeme S. MacLennan and Christoph M. Seiler |
| Zusammenfassung: | Randomised trials evaluation of surgical interventions are often designed and analysed as if the outcome of individual patients is independent of the surgeon providing the intervention. There is reason to expect outcomes for patients treated by the same surgeon tend to be more similar than those under the care of another surgeon due to previous experience, individual practice, training, and infrastructure. Such a phenomenon is referred to as the clustering effect and potentially impacts on the design and analysis adopted and thereby the required sample size. The aim of this work was to inform trial design by quantifying clustering effects (at both centre and surgeon level) for various outcomes using a database of surgical trials. |
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| Beschreibung: | Gesehen am 08.10.2018 |
| Beschreibung: | Online Resource |
| ISSN: | 1468-6694 |
| DOI: | 10.1186/1745-6215-13-2 |