Correlation and Large-Scale Simultaneous Significance Testing

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works

The control of the false discovery rate in multiple testing under dependency

Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490 · see citing works

A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

Bolstad, B. M., Irizarry, R. A., Åstrand, M., & Speed, T. P. (2003) · Bioinformatics · doi:10.1093/bioinformatics/19.2.185 · Cited by 8,185 · see citing works

A Direct Approach to False Discovery Rates

Storey, J. D. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00346 · Cited by 5,603 · see citing works

Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment

Martín, M. A., Westfall, P. H., & Young, S. (1993) · Biometrics · doi:10.2307/2533464 · Cited by 2,308 · see citing works

Identifying differentially expressed genes using false discovery rate controlling procedures

Reiner, A., Yekutieli, D., & Benjamini, Y. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btf877 · Cited by 1,765 · see citing works

Empirical Bayes analysis of a microarray experiment

Efron, B., Tibshirani, R., Storey, J. D., & Tusher, V. (2001) · Journal of the American Statistical Association · doi:10.1198/016214501753382129 · Cited by 1,733 · see citing works

Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach

Storey, J. D., Taylor, J., & Siegmund, D. (2003) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2004.00439.x · Cited by 1,345 · see citing works

Multiple Comparisons: Theory and Methods

Christensen, R., & Hsu, J. C. (1997) · Technometrics · doi:10.2307/1270920 · Cited by 1,105 · see citing works

Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis

Efron, B. (2004) · Journal of the American Statistical Association · doi:10.1198/016214504000000089 · Cited by 1,005 · see citing works

Gene-expression profiles in hereditary breast cancer.

Hedenfalk, I., Duggan, D., Chen, Y.-D., Radmacher, M., Bittner, M., Simon, R., Meltzer, P., Gusterson, B., Esteller, M., Raffeld, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200102223440801 · Cited by 978 · see citing works

Outcome signature genes in breast cancer: is there a unique set?

Ein‐Dor, L., Kela, I., Getz, G. A., Givol, D., & Domany, E. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth469 · Cited by 792 · see citing works

Empirical Bayes methods and false discovery rates for microarrays

Efron, B., & Tibshirani, R. (2002) · Genetic Epidemiology · doi:10.1002/gepi.1124 · Cited by 684 · see citing works

Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment.

Thomas, G. E., Westfall, P. H., & Young, S. S. (1994) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348369 · Cited by 515 · see citing works

Resampling-based multiple testing for microarray data analysis

Ge, Y., Dudoit, S., & Speed, T. P. (2003) · Test · doi:10.1007/bf02595811 · Cited by 506 · see citing works

Plots of P-values to evaluate many tests simultaneously

Schweder, T., & Spjøtvoll, E. (1982) · Biometrika · doi:10.1093/biomet/69.3.493 · Cited by 440 · see citing works

Size, power and false discovery rates

Efron, B. (2007) · The Annals of Statistics · doi:10.1214/009053606000001460 · Cited by 436 · see citing works

Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data

Langaas, M., Lindqvist, B. H., & Ferkingstad, E. (2005) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2005.00515.x · Cited by 316 · see citing works

Generalizations of the Familywise Error Rate

Lehmann, E. L., & Romano, J. P. (2011) · Springer eBooks · doi:10.1007/978-1-4614-1412-4_57 · Cited by 253 · see citing works

Multiple Testing of General Contrasts Using Logical Constraints and Correlations

Westfall, P. H. (1997) · Journal of the American Statistical Association · doi:10.1080/01621459.1997.10473627 · Cited by 223 · see citing works

Using specially designed exponential families for density estimation

Efron, B., & Tibshirani, R. J. (1996) · The Annals of Statistics · doi:10.1214/aos/1032181161 · Cited by 176 · see citing works

Cellular Gene Expression upon Human Immunodeficiency Virus Type 1 Infection of CD4+-T-Cell Lines

Wout, A. B. V. ’., Lehrman, G. K., Mikheeva, S. A., OʼKeeffe, G., Katze, M. G., Bumgarner, R. E., Geiss, G. K., & Mullins, J. I. (2002) · Journal of Virology · doi:10.1128/jvi.77.2.1392-1402.2003 · Cited by 176 · see citing works

Multiple Testing. Part I. Single-Step Procedures for Control of General Type I Error Rates

Dudoit, S., van der Laan, M. J., & Pollard, K. S. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1040 · Cited by 167 · see citing works

Detecting Differentially Expressed Genes in Microarrays Using Bayesian Model Selection

Ishwaran, H., & Rao, J. S. (2003) · Journal of the American Statistical Association · doi:10.1198/016214503000224 · Cited by 165 · see citing works

Variance of the Number of False Discoveries

Owen, A. B. (2005) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2005.00509.x · Cited by 142 · see citing works

The effects of normalization on the correlation structure of microarray data

Qiu, X., Brooks, A. I., Klebanov, L. B., & Yakovlev, A. (2005) · BMC Bioinformatics · doi:10.1186/1471-2105-6-120 · Cited by 111 · see citing works

The Factor Analytic Approach to Simultaneous Inference in the General Linear Model

Hsu, J. C. (1992) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1992.10477011 · Cited by 108 · see citing works

Correlation Between Gene Expression Levels and Limitations of the Empirical Bayes Methodology for Finding Differentially Expressed Genes

Qiu, X., Klebanov, L. B., & Yakovlev, A. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1157 · Cited by 108 · see citing works

Local False Discovery Rates

Efron, B. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511761362.006 · Cited by 99 · see citing works

Bias in the estimation of false discovery rate in microarray studies

Pawitan, Y., Murthy, K. R. K., Michiels, S., et al. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti626 · Cited by 84 · see citing works

American Statistical Association

Leone, F. C. (2005) · Encyclopedia of Statistical Sciences · doi:10.1002/0471667196.ess0036.pub2 · Cited by 70 · see citing works

Computational Statistics

Gentle, J. E. (2010) · Elsevier eBooks · doi:10.1016/b978-0-08-044894-7.01316-6 · Cited by 56 · see citing works

Quantile-Function Based Null Distribution in Resampling Based Multiple Testing

van der Laan, M. J., & Hubbard, A. (2006) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1199 · Cited by 27 · see citing works

Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223 · see citing works

Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis

Leek, J. T., & Storey, J. D. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030161 · Cited by 1,930 · see citing works

Assigning Significance to Peptides Identified by Tandem Mass Spectrometry Using Decoy Databases

Käll, L., Storey, J. D., MacCoss, M. J., & Noble, W. S. (2008) · Journal of Proteome Research · doi:10.1021/pr700600n · Cited by 607 · see citing works

Statistical analysis strategies for association studies involving rare variants

Bansal, V., Libiger, O., Torkamani, A., & Schork, N. J. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2867 · Cited by 455 · see citing works

Intensity-based hierarchical bayes method improves testing for differentially expressed genes in microarray experiments

Sartor, M. A., Tomlinson, C. R., Wesselkamper, S. C., Sivaganesan, S., Leikauf, G. D., & Medvedovic, M. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-538 · Cited by 263 · see citing works

Estimating False Discovery Proportion Under Arbitrary Covariance Dependence

Fan, J., Han, X., & Gu, W. (2012) · Journal of the American Statistical Association · doi:10.1080/01621459.2012.720478 · Cited by 227 · see citing works

SLIM: a sliding linear model for estimating the proportion of true null hypotheses in datasets with dependence structures

Wang, H.-Q., Tuominen, L. K., & Tsai, C.-J. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btq650 · Cited by 223 · see citing works

Effects of dependence in high-dimensional multiple testing problems

Kim, K. I., & van de Wiel, M. A. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-114 · Cited by 220 · see citing works

Paternal adverse childhood experiences: Associations with infant DNA methylation

Merrill, S. M., Moore, S. R., Gladish, N., Giesbrecht, G. F., Dewey, D., Konwar, C., MacIssac, J. L., Kobor, M. S., & Letourneau, N. L. (2021) · Developmental Psychobiology · doi:10.1002/dev.22174 · Cited by 42 · see citing works

Police-Community Relations in Cincinnati

Ridgeway, G., Schell, T., Gifford, B., Saunders, J., Turner, S., Riley, K., & Dixon, T. (2009) · RAND Corporation eBooks · doi:10.7249/mg853 · Cited by 33 · see citing works

Hunting for Significance With the False Discovery Rate

Posch, M., Zehetmayer, S., & Bauer, P. (2009) · Journal of the American Statistical Association · doi:10.1198/jasa.2009.0137 · Cited by 15 · see citing works

Comparison of Methods for Estimating the Number of True Null Hypotheses in Multiplicity Testing

Hsueh, H., Chen, J. J., & Kodell, R. L. (2003) · Journal of Biopharmaceutical Statistics · doi:10.1081/bip-120024202 · Cited by 113 · see citing works

Incorporating the Empirical Null Hypothesis into the Benjamini-Hochberg Procedure

Ghosh, D. (2012) · Statistical Applications in Genetics and Molecular Biology · doi:10.1515/1544-6115.1735 · Cited by 37 · see citing works

Null-free False Discovery Rate Control Using Decoy PermutationsPreprint

He, K., Li, M., Fu, Y., et al. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1804.08222 · Cited by 1 · see citing works

Null-free False Discovery Rate Control Using Decoy Permutations

He, K., Li, M., Fu, Y., et al. (2022) · Acta Mathematicae Applicatae Sinica English Series · doi:10.1007/s10255-022-1077-5 · Cited by 8 · see citing works