A parametric model to estimate the proportion from true null using a distribution for \(p\)-values

DOI10.1016/j.csda.2017.04.008zbMath1464.62192OpenAlexW2609930889WikidataQ38615136 ScholiaQ38615136MaRDI QIDQ1658359

Daniel Zelterman, Chang Yu

Publication date: 14 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2017.04.008

zbMATH Keywords

mixture modeldistribution of \(p\)-valuesmicroarray studiesproportion from the null hypothesis

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Null-free false discovery rate control using decoy permutations ⋮ New results for adaptive false discovery rate control with \(p\)-value weighting ⋮ Distributions associated with simultaneous multiple hypothesis testing

Cites Work

• Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses
• Interval estimation in a finite mixture model: Modeling \(P\)-values in multiple testing ap\-plications
• A mixture model approach for the analysis of microarray gene expression data.
• Empirical Bayes Analysis of a Microarray Experiment
• Nonparametric Bayesian Estimation of Positive False Discovery Rates
• Statistical significance for genomewide studies
• Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data
• Large-Scale Simultaneous Hypothesis Testing
• Use of Ranks in One-Criterion Variance Analysis
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