On Sensitivity Value of Pair-Matched Observational Studies

• 成果类型: Article
• 署名作者: Zhao, Qingyuan
• 署名单位: University of Pennsylvania
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.1080/01621459.2018.1429277
• 发表日期: 2019
• 页码: 713-722
• 关键词: design sensitivity; confidence-intervals; gene-expression

摘要

This article proposes a new quantity called the sensitivity value, which is defined as the minimum strength of unmeasured confounders needed to change the qualitative conclusions of a naive analysis assuming no unmeasured confounder. We establish the asymptotic normality of the sensitivity value in pair-matched observational studies. The theoretical results are then used to approximate the power of a sensitivity analysis and select the design of a study. We explore the potential to use sensitivity values to screen multiple hypotheses in the presence of unmeasured confounding using a microarray dataset. Supplementary materials for this article are available online.