IDEAS home Printed from https://ideas.repec.org/r/bes/jnlasa/v102y2007p93-103.html
   My bibliography  Save this item

Correlation and Large-Scale Simultaneous Significance Testing

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Miecznikowski, Jeffrey C. & Gold, David & Shepherd, Lori & Liu, Song, 2011. "Deriving and comparing the distribution for the number of false positives in single step methods to control k-FWER," Statistics & Probability Letters, Elsevier, vol. 81(11), pages 1695-1705, November.
  2. David Amar & Ron Shamir & Daniel Yekutieli, 2017. "Extracting replicable associations across multiple studies: Empirical Bayes algorithms for controlling the false discovery rate," PLOS Computational Biology, Public Library of Science, vol. 13(8), pages 1-22, August.
  3. Hanwen Huang, 2017. "Controlling the false discoveries in LASSO," Biometrics, The International Biometric Society, vol. 73(4), pages 1102-1110, December.
  4. I. Ahmed & C. Dalmasso & F. Haramburu & F. Thiessard & P. Broët & P. Tubert-Bitter, 2010. "False Discovery Rate Estimation for Frequentist Pharmacovigilance Signal Detection Methods," Biometrics, The International Biometric Society, vol. 66(1), pages 301-309, March.
  5. Lim Johan & Kim Jayoun & Kim Sang-cheol & Yu Donghyeon & Kim Kyunga & Kim Byung Soo, 2012. "Detection of Differentially Expressed Gene Sets in a Partially Paired Microarray Data Set," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(3), pages 1-30, February.
  6. K. J. Kachiashvili & I.A. Prangishvili & J. K. Kachiashvili, 2019. "Constrained Bayesian Methods for Testing Directional Hypotheses Restricted False Discovery Rates," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(3), pages 47-56, March.
  7. Qin, Huaizhen & Ouyang, Weiwei, 2015. "Statistical properties of gene–gene correlations in omics experiments," Statistics & Probability Letters, Elsevier, vol. 97(C), pages 206-211.
  8. Jianqing Fan & Yuan Liao & Martina Mincheva, 2013. "Large covariance estimation by thresholding principal orthogonal complements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 603-680, September.
  9. Wen Shi & Xi Chen & Jennifer Shang, 2019. "An Efficient Morris Method-Based Framework for Simulation Factor Screening," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 745-770, October.
  10. von Borries, George & Wang, Haiyan, 2009. "Partition clustering of high dimensional low sample size data based on p-values," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 3987-3998, October.
  11. Jianqing Fan & Xu Han, 2017. "Estimation of the false discovery proportion with unknown dependence," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(4), pages 1143-1164, September.
  12. Wang, Jiangzhou & Cui, Tingting & Zhu, Wensheng & Wang, Pengfei, 2023. "Covariate-modulated large-scale multiple testing under dependence," Computational Statistics & Data Analysis, Elsevier, vol. 180(C).
  13. David R. Bickel, 2011. "Estimating the Null Distribution to Adjust Observed Confidence Levels for Genome-Scale Screening," Biometrics, The International Biometric Society, vol. 67(2), pages 363-370, June.
  14. Kong, Xinbing & Liu, Zhi & Zhao, Peng & Zhou, Wang, 2017. "SURE estimates under dependence and heteroscedasticity," Journal of Multivariate Analysis, Elsevier, vol. 161(C), pages 1-11.
  15. Thulin, Måns, 2014. "A high-dimensional two-sample test for the mean using random subspaces," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 26-38.
  16. Ali Karimnezhad, 2022. "A simple yet efficient method of local false discovery rate estimation designed for genome-wide association data analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 159-180, March.
  17. Friguet, Chloé & Causeur, David, 2011. "Estimation of the proportion of true null hypotheses in high-dimensional data under dependence," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2665-2676, September.
  18. Wang, Xia & Shojaie, Ali & Zou, Jian, 2019. "Bayesian hidden Markov models for dependent large-scale multiple testing," Computational Statistics & Data Analysis, Elsevier, vol. 136(C), pages 123-136.
  19. Bradley Efron, 2007. "Doing thousands of hypothesis tests at the same time," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 3-21.
  20. Chen Xu & Jiahua Chen, 2014. "The Sparse MLE for Ultrahigh-Dimensional Feature Screening," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1257-1269, September.
  21. Miecznikowski Jeffrey C. & Gaile Daniel P., 2014. "A novel characterization of the generalized family wise error rate using empirical null distributions," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 13(3), pages 299-322, June.
  22. Lee, Donghwan & Lee, Youngjo, 2016. "Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model," Journal of Multivariate Analysis, Elsevier, vol. 151(C), pages 1-13.
  23. Feher Kristen & Whelan James & Müller Samuel, 2011. "Assessing Modularity Using a Random Matrix Theory Approach," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-34, September.
  24. Li, Feng & Seillier-Moiseiwitsch, Françoise & Korostyshevskiy, Valeriy R., 2011. "Region-based statistical analysis of 2D PAGE images," Computational Statistics & Data Analysis, Elsevier, vol. 55(11), pages 3059-3072, November.
  25. Jeng, X. Jessie & Chen, Xiongzhi, 2019. "Predictor ranking and false discovery proportion control in high-dimensional regression," Journal of Multivariate Analysis, Elsevier, vol. 171(C), pages 163-175.
  26. T. Tony Cai & Weidong Liu, 2016. "Large-Scale Multiple Testing of Correlations," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 229-240, March.
  27. Monitirtha Dey, 2024. "On limiting behaviors of stepwise multiple testing procedures," Statistical Papers, Springer, vol. 65(9), pages 5691-5717, December.
  28. Yu, Donghyeon & Lim, Johan & Liang, Feng & Kim, Kyunga & Kim, Byung Soo & Jang, Woncheol, 2012. "Permutation test for incomplete paired data with application to cDNA microarray data," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 510-521.
  29. Nik Tuzov & Frederi Viens, 2011. "Mutual fund performance: false discoveries, bias, and power," Annals of Finance, Springer, vol. 7(2), pages 137-169, May.
  30. Cui, Junfeng & Wang, Guanghui & Zou, Changliang & Wang, Zhaojun, 2023. "Change-point testing for parallel data sets with FDR control," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).
  31. Anat Reiner-Benaim, 2016. "Scan Statistic Tail Probability Assessment Based on Process Covariance and Window Size," Methodology and Computing in Applied Probability, Springer, vol. 18(3), pages 717-745, September.
  32. Carol Liu, 2024. "BayesSRW: Bayesian Sampling and Re-weighting approach for variance reduction," Papers 2408.15454, arXiv.org.
  33. Sairam Rayaprolu & Zhiyi Chi, 2021. "False Discovery Variance Reduction in Large Scale Simultaneous Hypothesis Tests," Methodology and Computing in Applied Probability, Springer, vol. 23(3), pages 711-733, September.
  34. Zhuo, Bin & Jiang, Duo & Di, Yanming, 2020. "Test-statistic correlation and data-row correlation," Statistics & Probability Letters, Elsevier, vol. 167(C).
  35. Wenguang Sun & T. Tony Cai, 2009. "Large‐scale multiple testing under dependence," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 393-424, April.
  36. Noirrit Kiran Chandra & Sourabh Bhattacharya, 2021. "Asymptotic theory of dependent Bayesian multiple testing procedures under possible model misspecification," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 73(5), pages 891-920, October.
  37. Gordon, Alexander & Chen, Linlin & Glazko, Galina & Yakovlev, Andrei, 2009. "Balancing type one and two errors in multiple testing for differential expression of genes," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1622-1629, March.
  38. Shijia Zhu & Guohua Wang & Bo Liu & Yadong Wang, 2013. "Modeling Exon Expression Using Histone Modifications," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-15, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.