Estimating the proportion of true null hypotheses and adaptive false discovery rate control in discrete paradigm

DOI10.1002/bimj.202200204zbMATH Open1547.62146MaRDI QIDQ6625430

Aniket Biswas, Gaurangadeb Chattopadhyay

Publication date: 28 October 2024

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

\(p\)-valueFisher's exact testmultiple hypotheses testingbinomial testRNA sequence data

Mathematics Subject Classification ID

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

Cites Work

• Title not available (Why is that?)
• Adaptive FDR control under independence and dependence
• Adaptive linear step-up procedures that control the false discovery rate
• Multiple testing with discrete data: Proportion of true null hypotheses and two adaptive FDR procedures
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• A Direct Approach to False Discovery Rates
• Regarding Paper “Multiple testing with discrete data: Proportion of true null hypotheses and two adaptive FDR procedures” by Xiongzhi Chen, Rebecca W. Doerge, and Joseph F. Heyse
• Comments on Dr. Aniket Biswas' Letter to the Editor
• Bias-corrected estimators for proportion of true null hypotheses: application of adaptive FDR-controlling in segmented failure data
• False discovery rate control for multiple testing based on discrete p‐values
• Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data
• A Modified False Discovery Rate Multiple-Comparisons Procedure for Discrete Data, Applied to Human Immunodeficiency Virus Genetics

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