Parametric and Nonparametric FDR Estimation Revisited

DOI10.1111/j.1541-0420.2006.00531.xzbMath1111.62113OpenAlexW1991657237WikidataQ51933187 ScholiaQ51933187MaRDI QIDQ3436516

Baolin Wu, Zhong Guan, Hongyu Zhao

Publication date: 11 May 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00531.x

zbMATH Keywords

multiple comparisonssimultaneous inferencemultiple hypothesis testingmicroarrayleukemia gene expression data

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Empirical decision procedures; empirical Bayes procedures (62C12) Paired and multiple comparisons; multiple testing (62J15)

Related Items (5)

Estimating the Proportion of True Null Hypotheses in Nonparametric Exponential Mixture Model with Appication to the Leukemia Gene Expression Data ⋮ Estimating large covariance matrix with network topology for high-dimensional biomedical data ⋮ Estimating the proportion of true null hypotheses using the pattern of observedp-values ⋮ 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 ⋮ Unsupervised empirical Bayesian multiple testing with external covariates

Uses Software

• COBS

Cites Work

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• Resampling-based multiple testing for microarray data analysis (With comments)
• Robbins, empirical Bayes and microarrays
• The control of the false discovery rate in multiple testing under dependency.
• COBS: qualitatively constrained smoothing via linear programming
• Empirical Bayes Analysis of a Microarray Experiment
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• A Direct Approach to False Discovery Rates
• IX. On the problem of the most efficient tests of statistical hypotheses
• On the Identifiability of Finite Mixtures

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