Estimating the proportion of true null hypotheses with application in microarray data

DOI10.1080/03610918.2020.1800036OpenAlexW3046507155MaRDI QIDQ5055123

Aniket Biswas

Publication date: 13 December 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.13282

zbMATH Keywords

normality\(p\)-valueeffect size\(t\)-testexpected \(p\)-valuetrue null

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Related Items (2)

Bias-corrected estimators for proportion of true null hypotheses: application of adaptive FDR-controlling in segmented failure data ⋮ New results for adaptive false discovery rate control with \(p\)-value weighting

Uses Software

• SAM

Cites Work

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• A stochastic process approach to false discovery control.
• The Behavior of the P-Value When the Alternative Hypothesis is True
• Controlling the Familywise Error Rate with Plug-in Estimator for the Proportion of True Null Hypotheses
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• A Direct Approach to False Discovery Rates
• 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
• Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data

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