Estimating the proportion of true null hypotheses in multiple testing problems

DOI10.1155/2016/3937056zbMath1431.62325OpenAlexW2560240673WikidataQ59129349 ScholiaQ59129349MaRDI QIDQ1658053

Hanfeng Chen, Oluyemi Oyeniran

Publication date: 14 August 2018

Published in: Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/3937056

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Paired and multiple comparisons; multiple testing (62J15)

Related Items (1)

Estimating the proportion of true null hypotheses under dependency: a marginal bootstrap approach

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Empirical likelihood for linear models
• Estimating the Proportion of True Null Hypotheses in Nonparametric Exponential Mixture Model with Appication to the Leukemia Gene Expression Data
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• A Direct Approach to False Discovery Rates
• An improved Bonferroni procedure for multiple tests of significance
• Statistical significance for genomewide studies
• Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data

This page was built for publication: Estimating the proportion of true null hypotheses in multiple testing problems