Data Volume and Power of Multiple Tests with Small Sample Size Per Null

DOI10.1080/03610910902936349zbMath1175.62016arXiv0810.4071OpenAlexW2148345834MaRDI QIDQ3645006

Zhiyi Chi

Publication date: 16 November 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0810.4071

zbMATH Keywords

likelihood ratiomultiple testspFDRCrámer-type large deviations

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15) Asymptotic properties of parametric tests (62F05) Paired and multiple comparisons; multiple testing (62J15)

Cites Work

• Unnamed Item
• The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
• Higher criticism for detecting sparse heterogeneous mixtures.
• False discovery rate control with multivariate \(p\)-values
• Sample size and positive false discovery rate control for multiple testing
• Size, power and false discovery rates
• On the performance of FDR control: constraints and a partial solution
• Empirical Bayes Analysis of a Microarray Experiment
• Operating Characteristics and Extensions of the False Discovery Rate Procedure
• Convergence of stochastic processes
• Large deviations of sums of independent random variables

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