A modified two-sample t-test based on permutation method for large-scale data

DOI10.1080/03610918.2017.1381737OpenAlexW2759002691MaRDI QIDQ5086153

Mohammad Mohammadi, Adel Mochammadpour, Mohsen Amini Salehi, Mina Aminghafari

Publication date: 1 July 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2017.1381737

zbMATH Keywords

permutation testmicroarray datauniformly most powerful unbiased testnull statistic

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03)

Cites Work

• Union-intersection permutation solution for two-sample equivalence testing
• Optimal significance analysis of microarray data in a class of tests whose null statistic can be constructed
• Significance analysis of microarrays applied to the ionizing radiation response
• Permutation Filtering: A Novel Concept for Significance Analysis of Large-Scale Genomic Data
• Empirical Bayes Analysis of a Microarray Experiment
• Statistical significance for genomewide studies
• Bayesian Robust Inference for Differential Gene Expression in Microarrays with Multiple Samples

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