Estimation of Attributable Risk from Clustered Binary Data: The Case of Cross-Sectional and Cohort Studies
作者: Mohamed ShoukriAllan DonnerFutwan Al-Mohanna
作者单位: 1Department of Cell Biology, Research Center King Faisal Specialist Hospital & Research Center, Riyadh, KSA
2Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
3Robarts Clinical Trials, Robarts Research Institute, London, Ontario, Canada
刊名: Open Journal of Statistics, 2017, Vol.7 (2), pp.240-253
来源数据库: Scientific Research Publishing Journal
DOI: 10.4236/ojs.2017.72019
原始语种摘要: Effect sizes are estimated from several study designs when the subjects are individually sampled. When the samples are the aggregate cluster of individuals, the within cluster correlation must be accounted for to construct correct confidence intervals, and to conduct valid statistical inference. The purpose of this article is to propose and evaluate statistical procedures for the estimation of the variance of the estimated attributable risk in parallel groups of clusters, and in a design dividing each of k clusters into two segments creating multiple sub-clusters. The estimated variance is the first order approximation and is obtained by the delta method. We apply the methodology and propose a Wald type confidence interval on the difference between two correlated attributable risks. We...
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  • variance 离散
  • equality 相等
  • cluster 
  • aggregate 集合体
  • methodology 方法学
  • proposed 建议的
  • purpose 目的
  • confidence 信用
  • creating 生成
  • estimated 估计的