Comparison of Methods for Estimating the Number of True Null Hypotheses in Multiplicity Testing
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Publication:4430342
DOI10.1081/BIP-120024202zbMath1197.62095OpenAlexW2046875666WikidataQ47416509 ScholiaQ47416509MaRDI QIDQ4430342
Huey-Miin Hsueh, Ralph L. Kodell, James J. Chen
Publication date: 7 October 2003
Published in: Journal of Biopharmaceutical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1081/bip-120024202
Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Paired and multiple comparisons; multiple testing (62J15)
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Multiple-Testing Strategy for Analyzing cDNA Array Data on Gene Expression ⋮ Estimating the number of equal components for two high-dimensional mean vectors ⋮ Estimating the number of true null hypotheses in multiple hypothesis testing ⋮ Two new estimators for the proportion of true null hypotheses in multiple test ⋮ Estimating the proportion of true null hypotheses using the pattern of observedp-values ⋮ An evaluation of statistical methods for aggregate patterns of replication failure ⋮ The beta-binomial distribution for estimating the number of false rejections in microarray gene expression studies ⋮ False discovery rate envelopes ⋮ Incorporating the number of true null hypotheses to improve power in multiple testing: application to gene microarray data ⋮ Sample Size Calculations Based on Ranking and Selection in Microarray Experiments ⋮ Comparisons of estimators of the number of true null hypotheses and adaptive FDR procedures in multiplicity testing ⋮ Estimation of False Discovery Rates in Multiple Testing: Application to Gene Microarray Data
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