Estimation of Attributable Risk from Clustered Binary Data: The Case of Cross-Sectional and Cohort Studies

• 作者: Allan Donner Futwan Al-Mohanna Mohamed Shoukri
• 来源期刊: 统计学期刊(英文)
• 学科: 医学
• 关键词: CORRELATED Binary Responses Effect Size Split-Cluster Design CORRELATED Attributable RISKS CONFIDENCE INTERVALS Monte-Carlo Simulations
• 年，卷（期）: 2017,（2）
• 页码范围: 240-253
• 页数: 14页
• 分类号: R73

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 also construct a test on the hypothesis of equality of two correlated attributable risks. We evaluate the power of the proposed test via Monte-Carlo simulations.