PARAMETERS TO AID IN THE DESIGN AND ANALYSIS OF COMMUNITY TRIALS - INTRACLASS CORRELATIONS FROM THE MINNESOTA-HEART-HEALTH-PROGRAM
PARAMETERS TO AID IN THE DESIGN AND ANALYSIS OF COMMUNITY TRIALS - INTRACLASS CORRELATIONS FROM THE MINNESOTA-HEART-HEALTH-PROGRAM
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DOI：
10.1097/00001648-199401000-00013
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发表时间：
1994-01-01
期刊：
影响因子：
5.4
通讯作者：
MCGOVERN, PG
中科院分区：
文献类型：
--
作者：
HANNAN, PJ;MURRAY, DM;MCGOVERN, PG
社区试验涉及分配完整的社会群体来研究条件，这在流行病学研究中越来越普遍。在这些研究的设计和分析中，无论是横断面还是队列，如果要正确估计方差，必须考虑完整组内元素的依赖性。在设计阶段，统计学家需要估计可能遇到的依赖程度。在分析阶段，依赖程度的外部估计可能有助于防止与分配给每个条件的少数完整组相关的权力侵蚀。我们报告了在明尼苏达心脏：健康计划中对各种社区调查变量估计的城市年方差成分的类内相关系数，并说明了它们在设计和分析中的应用。在被评估的23个变量中，除两个变量外，所有变量都显示出城市年内相关性的正估计。在这些数据中，类内相关系数的估计值一般在0.002-0.012之间。
Community trials involve the assignment of intact social groups to study conditions and are becoming increasingly common in epidemiologic research. In both the design and analysis of these studies, whether cross-sectional or cohort, allowance must be made for the dependence of elements within intact groups if variances are to be properly estimated. In the design phase, the statistician needs estimates of the level of dependence likely to be encountered. In the analysis phase, external estimates of the level of dependence may be useful in preventing the erosion of power associated with small numbers of intact groups assigned to each condition. We report the intraclass correlation coefficients of the city-year component of variance as estimated in the Minnesota Heart: Health Program for a variety of community survey variables and illustrate their use in both design and analysis. Of 23 variables assessed, all but two showed positive estimates of city-year intraclass correlations. In these data, estimates of intraclass correlation coefficients generally were in the range 0.002-0.012.