Intra-cluster correlation coefficients in adults with diabetes in primary care practices: the Vermont Diabetes Information System field survey
By Benjamin Littenberg, Charles D. Maclean. BMC Medical Research Methodology, 2006
3,056 citations recorded by the source corpus.
BackgroundProper estimation of sample size requirements for cluster-based studies requires estimates of the intra-cluster correlation coefficient (ICC) for the variables of interest.MethodsWe calculated the ICC for 112 variables measured as part of the Vermont Diabetes Information System, a cluster-randomized study of adults with diabetes from 73 primary care practices (the clusters) in Vermont and surrounding areas.ResultsICCs varied widely around a median value of 0.0185 (Inter-quartile range: 0.006, 0.037). Some characteristics (such as the proportion having a recent creatinine measurement) were highly associated with the practice (ICC = 0.288), while others (prevalence of some comorbidities and complications and certain aspects of quality of life) varied much more across patients with only small correlation within practices (ICC<0.001).ConclusionThe ICC values reported here may be useful in designing future studies that use clustered sampling from primary care practices.
Subfields: Endocrinology, Diabetes and Metabolism, Epidemiology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/df710e5912d7d79e183e16f31009da1d5a5e0aed
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In Endocrinology, Diabetes and Metabolism
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In Epidemiology
- Gary S. Collins
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- Y. Vergouwe
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- S. Mallett
- Joris A. H. de Groot
In Statistics and Probability
- Gary S. Collins
- Karel G. M. Moons
- Johannes B Reitsma
- Douglas G. Altman
- Ewout W. Steyerberg
- Y. Vergouwe
- Joris A. H. de Groot
- S. Mallett
Citations in the corpus
- The methodological quality assessment tools for preclinical and clinical studies, systematic review and meta‐analysis, and clinical practice guideline: a systematic review (2015, methodology): “The Cochrane Collaboration takes QUADAS as it is a standard tool for making CSR and set QUADAS in the Review Manager (RevMan) 5.0 software (http://srdta.cochrane.org/handbook-dta-reviews).”
- Magnetic resonance imaging-targeted biopsy may enhance the diagnostic accuracy of significant prostate cancer detection compared to standard transrectal ultrasound-guided biopsy: a systematic review and meta-analysis. (2015, methodology): “2) [19].”
- Carotid plaque, compared with carotid intima-media thickness, more accurately predicts coronary artery disease events: a meta-analysis. (2011, methodology): “ist designed by Downs and Black for population-based studies [6], nd the QUADAS for diagnostic cohort studies [7].”