On Sensitivity Value of Pair-Matched Observational Studies

DOI10.1080/01621459.2018.1429277zbMath1420.62211arXiv1702.03442OpenAlexW2613982886MaRDI QIDQ5231499

Qingyuan Zhao

Publication date: 27 August 2019

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1702.03442

zbMATH Keywords

\(U\)-statisticseffect modificationstudy designgenomics screeningsigned score test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Design of statistical experiments (62K99)

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Uses Software

• leapp

Cites Work

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• Confounder adjustment in multiple hypothesis testing
• Multiple hypothesis testing adjusted for latent variables, with an application to the AGEMAP gene expression data
• A New u-Statistic with Superior Design Sensitivity in Matched Observational Studies
• Asymptotic Separability in Sensitivity Analysis
• Effect Modification and Design Sensitivity in Observational Studies
• Split Samples and Design Sensitivity in Observational Studies
• Design Sensitivity and Efficiency in Observational Studies
• Bahadur Efficiency of Sensitivity Analyses in Observational Studies
• Design sensitivity in observational studies
• Confidence Intervals for Partially Identified Parameters
• Some Simple Distribution-Free Confidence Intervals for the Center of a Symmetric Distribution
• Design of observational studies
• Observational studies.

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