Sample size reassessment for a two-stage design controlling the false discovery rate

DOI10.1515/sagmb-2014-0025zbMath1330.92014OpenAlexW2318436337WikidataQ38963341 ScholiaQ38963341MaRDI QIDQ5962696

Martin Posch, Sonja Zehetmayer, Alexandra C. Graf

Publication date: 16 February 2016

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4789494

zbMATH Keywords

two-stage designhigh-dimensional dataadaptive designfalse discovery rate

Mathematics Subject Classification ID

General biostatistics (92B15) Parametric hypothesis testing (62F03) Sampling theory, sample surveys (62D05)

Related Items (2)

Robin Hood: a cost-efficient two-stage approach to large-scale simultaneous inference with non-homogeneous sparse effects ⋮ Group sequential BH and its adaptive versions controlling the FDR

Uses Software

• R
• Bioconductor
• mixfdr
• gcrma
• limma

Cites Work

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• Improved Estimation of the Noncentrality Parameter Distribution from a Large Number of t‐Statistics, with Applications to False Discovery Rate Estimation in Microarray Data Analysis
• Hunting for Significance With the False Discovery Rate
• Correlated z-Values and the Accuracy of Large-Scale Statistical Estimates
• Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data

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