Intraclass correlation coefficient and outcome prevalence are associated in clustered binary data

被引:109
作者
Gulliford, MC
Adams, G
Ukoumunne, OC
Latinovic, R
Chinn, S
Campbell, MJ
机构
[1] Univ London Kings Coll, Dept Publ Hlth Sci, London SE1 3QD, England
[2] Univ Sheffield, ScHARR Hosp, Inst Gen Practice & Primary Care, Sheffield S5 7AU, S Yorkshire, England
基金
英国医学研究理事会;
关键词
cluster randomization; cluster sampling; intraclass correlation coefficient; Kappa; binary data; prevalence;
D O I
10.1016/j.jclinepi.2004.08.012
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background and Objective: To describe the association between values for a proportion and the intraclass correlation coefficient (ICC). Methods: Analysis of data obtained from the General Practice Research Database (GPRD) for variation between United Kingdom general practices and results from a Health Technology Assessment (HTA) review for a range of outcomes in community and health services settings. Results: There were 188 ICCs from the GPRD, the median prevalence was 13.1% (interquartile range IQR 3.5 to 28.4%) and median ICC 0.051 (IQR 0.011 to 0.094). There were 136 ICCs from the HTA review, with median prevalence 6.5% (IQR 0.4 to 20.7%) and median ICC 0.006 (IQR 0.0003 to 0.036). There was a linear association of log ICC with log prevalence in both datasets (GPRD, regression coefficient 0.61, 95% confidence interval 0.53 to 0.69, P < 0.001; HTA, 0.91, 0.81 to 1.01, P < 0.001). When the prevalence was 1% the predicted ICC was 0.008 from the GPRD or 0.002 from the HTA, but when the prevalence was 40% the predicted ICC was 0.075 (GPRD) or 0.046 (HTA). Conclusion: The prevalence of an outcome may be used to make an informed assumption about the magnitude of the intraclass correlation coefficient. (C) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:246 / 251
页数:6
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