Shrinkage estimation of effect sizes as an alternative to hypothesis testing followed by estimation in high-dimensional biology: applications to differential gene expression

DOI10.2202/1544-6115.1504zbMath1304.92046OpenAlexW2277117258WikidataQ41987411 ScholiaQ41987411MaRDI QIDQ2254441

Zahra Montazeri, David R. Bickel, Corey M. Yanofsky

Publication date: 5 February 2015

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

Full work available at URL: https://doi.org/10.2202/1544-6115.1504

zbMATH Keywords

empirical Bayeshypothesis testingshrinkage estimationBayesian inferencegenome-wide associationmicroarray data analysishigh-dimensional biologymultiple comparison proceduressimultaneous significance

Mathematics Subject Classification ID

General biostatistics (92B15)

Related Items (5)

Null Hypothesis Significance Testing Interpreted and Calibrated by Estimating Probabilities of Sign Errors: A Bayes-Frequentist Continuum ⋮ Empirical Bayes Confidence Intervals for Selected Parameters in High-Dimensional Data ⋮ A prior-free framework of coherent inference and its derivation of simple shrinkage estimators ⋮ Shrinkage estimation of effect sizes as an alternative to hypothesis testing followed by estimation in high-dimensional biology: applications to differential gene expression ⋮ Interval estimation, point estimation, and null hypothesis significance testing calibrated by an estimated posterior probability of the null hypothesis

Uses Software

• R

Cites Work

• Unnamed Item
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