Correlation and Large-Scale Simultaneous Significance Testing
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Summary
Computational and theoretical methods for assessing the size and effect of correlation in large-scale testing are presented, leading to the identification of a single omnibus measure of correlation for the zi's order statistic.
- Type
- article
- Published
- 2007-03-01
- Cited by
- 450
- References
- 34
- OpenAlex
- https://openalex.org/W2006145698
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:805125
Keywords
Test statistic, Statistical hypothesis testing, Statistic, Null hypothesis, Inference
References
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- Large-Scale Simultaneous Hypothesis Testing
- The effects of normalization on the correlation structure of microarray data
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- Variance of the number of false discoveries
- Plots of P-values to evaluate many tests simultaneously
- Estimating the proportion of true null hypotheses, with application to DNA microarray data
- Empirical Bayes Analysis of a Microarray Experiment
- Empirical bayes methods and false discovery rates for microarrays
- Using specially designed exponential families for density estimation
- A direct approach to false discovery rates
- Cellular Gene Expression upon Human Immunodeficiency Virus Type 1 Infection of CD4+-T-Cell Lines
- Identifying differentially expressed genes using false discovery rate controlling procedures
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
- Multiple Testing of General Contrasts Using Logical Constraints and Correlations
- Bias in the estimation of false discovery rate in microarray studies
- Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
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- Differential analysis of 2D gel images.
- Global Analysis of the Relationship between JIL-1 Kinase and Transcription
- False discovery rate procedures for high-dimensional data
- Approches intégrées du génome et du transcriptome dans les maladies complexes humaines
- Microarrays, Empirical Bayes and the Two-Groups Model. Rejoinder.
- Infrastructure, Safety, and Environment
- Multiple Testing under Dependence via Semiparametric Graphical Models
- Challenges and Approaches to Statistical Design and Inference in High Dimensional Investigations
- Estimating the variance when assessing the number of false discoveries in Gaussian comparisons
- Hemispheric specialization for visual words is shaped by attention to sublexical units during initial learning
- Methods for Assessing Racially Biased Policing
- Multiple Testing under Dependence with Approximate Conditional Likelihood
- Doing thousands of hypothesis tests at the same time
- Mixed Directional False Discovery Rate Control in Multiple Pairwise Comparisons Using Weighted P-values
- Expression profile analysis of vulnerable CA1 pyramidal neurons in young-middle aged Ts65Dn mice
- Estimating the Null Distribution to Adjust Observed Confidence Levels for Genome‐Scale Screening
- Large-scale inference
- Fast nonparametric estimation of a mixing distribution with application to high-dimensional inference
- Statistical Learning and Behrens Fisher Distribution Methods for Heteroscedastic Data in Microarray Analysis
- Estimating false discovery proportion under covariance dependence
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