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A direct approach to false discovery rates

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Cited by:

  1. Yu-Min Yen, 2013. "Testing Jumps via False Discovery Rate Control," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-15, April.
  2. Yuan Zhao, 2014. "Cross-sector fund performance comparison: the role of real estate mutual funds," ERES eres2014_213, European Real Estate Society (ERES).
  3. Vicente Reyes-Puerta & Suam Kim & Jyh-Jang Sun & Barbara Imbrosci & Werner Kilb & Heiko J Luhmann, 2015. "High Stimulus-Related Information in Barrel Cortex Inhibitory Interneurons," PLOS Computational Biology, Public Library of Science, vol. 11(6), pages 1-32, June.
  4. E. M. Conlon & B. L. Postier & B. A. Methe & K. P. Nevin & D. R. Lovley, 2009. "Hierarchical Bayesian meta-analysis models for cross-platform microarray studies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(10), pages 1067-1085.
  5. Sean Jewell & Paul Fearnhead & Daniela Witten, 2022. "Testing for a change in mean after changepoint detection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1082-1104, September.
  6. Ming Yuan & Christina Kendziorski, 2006. "A Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification," Biometrics, The International Biometric Society, vol. 62(4), pages 1089-1098, December.
  7. Youngchao Ge & Sandrine Dudoit & Terence Speed, 2003. "Resampling-based multiple testing for microarray data analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(1), pages 1-77, June.
  8. Jin, Xiaoye, 2022. "Performance of intraday technical trading in China’s gold market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
  9. Mark Rempel, 2016. "Improving Overnight Loan Identification in Payments Systems," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 549-564, March.
  10. John A. Dawson & Christina Kendziorski, 2012. "An Empirical Bayesian Approach for Identifying Differential Coexpression in High-Throughput Experiments," Biometrics, The International Biometric Society, vol. 68(2), pages 455-465, June.
  11. Brian E Roe & Michael R Tilley & Howard H Gu & David Q Beversdorf & Wolfgang Sadee & Timothy C Haab & Audrey C Papp, 2009. "Financial and Psychological Risk Attitudes Associated with Two Single Nucleotide Polymorphisms in the Nicotine Receptor (CHRNA4) Gene," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-7, August.
  12. Francesco Bettella & Andrew A Brown & Olav B Smeland & Yunpeng Wang & Aree Witoelar & Alfonso A Buil Demur & Wesley K Thompson & Verena Zuber & Anders M Dale & Srdjan Djurovic & Ole A Andreassen, 2018. "Cross-tissue eQTL enrichment of associations in schizophrenia," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-17, September.
  13. A. R. Nematollahi & A. R. Soltani & M. R. Mahmoudi, 2017. "Periodically correlated modeling by means of the periodograms asymptotic distributions," Statistical Papers, Springer, vol. 58(4), pages 1267-1278, December.
  14. Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg‐Møller, 2022. "Robust Empirical Bayes Confidence Intervals," Econometrica, Econometric Society, vol. 90(6), pages 2567-2602, November.
  15. Cheng, Cheng, 2009. "Internal validation inferences of significant genomic features in genome-wide screening," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 788-800, January.
  16. Patrick Kline & Evan K Rose & Christopher R Walters, 2023. "Systemic Discrimination Among Large U.S. Employers," Journal of Economic Geography, Oxford University Press, vol. 137(4), pages 1963-2036.
  17. Nawal Abdalla Adam & Ghadah Alarifi, 2021. "Innovation practices for survival of small and medium enterprises (SMEs) in the COVID-19 times: the role of external support," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-22, December.
  18. Patrick Kline & Evan K Rose & Christopher R Walters, 2022. "Systemic Discrimination Among Large U.S. Employers [“Teachers and Student Achievement in the Chicago Public High Schools,”]," The Quarterly Journal of Economics, Oxford University Press, vol. 137(4), pages 1963-2036.
  19. Donata Marasini & Piero Quatto & Enrico Ripamonti, 2017. "Inferential confidence intervals for fuzzy analysis of teaching satisfaction," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1513-1529, July.
  20. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2008. "UK mutual fund performance: Skill or luck?," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 613-634, September.
  21. Manik Kuchroo & Marcello DiStasio & Eric Song & Eda Calapkulu & Le Zhang & Maryam Ige & Amar H. Sheth & Abdelilah Majdoubi & Madhvi Menon & Alexander Tong & Abhinav Godavarthi & Yu Xing & Scott Gigant, 2023. "Single-cell analysis reveals inflammatory interactions driving macular degeneration," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
  22. Enrico Petretto & Leonardo Bottolo & Sarah R Langley & Matthias Heinig & Chris McDermott-Roe & Rizwan Sarwar & Michal Pravenec & Norbert Hübner & Timothy J Aitman & Stuart A Cook & Sylvia Richardson, 2010. "New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-13, April.
  23. Habiger, Joshua D. & Peña, Edsel A., 2014. "Compound p-value statistics for multiple testing procedures," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 153-166.
  24. Alejandro Ochoa & John D Storey & Manuel Llinás & Mona Singh, 2015. "Beyond the E-Value: Stratified Statistics for Protein Domain Prediction," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-21, November.
  25. Dimitrios Koutmos & Bochen Wu & Qi Zhang, 2020. "In search of winning mutual funds in the Chinese stock market," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 589-616, February.
  26. 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.
  27. Ji Tieming & Liu Peng & Nettleton Dan, 2012. "Borrowing Information Across Genes and Experiments for Improved Error Variance Estimation in Microarray Data Analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(3), pages 1-29, May.
  28. Clare Marshall & Nicky Best & Alex Bottle & Paul Aylin, 2004. "Statistical issues in the prospective monitoring of health outcomes across multiple units," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(3), pages 541-559, August.
  29. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
  30. 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.
  31. Huiping Zhang & Fan Wang & Henry R Kranzler & Hongyu Zhao & Joel Gelernter, 2013. "Profiling of Childhood Adversity-Associated DNA Methylation Changes in Alcoholic Patients and Healthy Controls," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-9, June.
  32. Justa L. Heinen-Kay & Kirstin E. Morris & Nicole A. Ryan & Samantha L. Byerley & Rebecca E. Venezia & M. Nils Peterson & R. Brian Langerhans, 2015. "A trade-off between natural and sexual selection underlies diversification of a sexual signal," Behavioral Ecology, International Society for Behavioral Ecology, vol. 26(2), pages 533-542.
  33. Laurent Barras & Olivier Scaillet & Russ Wermers, 2010. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Journal of Finance, American Finance Association, vol. 65(1), pages 179-216, February.
  34. Jing Cao & Song Zhang, 2014. "A Bayesian extension of the hypergeometric test for functional enrichment analysis," Biometrics, The International Biometric Society, vol. 70(1), pages 84-94, March.
  35. Ardia, David & Boudt, Kris, 2018. "The peer performance ratios of hedge funds," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 351-368.
  36. M. Kathleen Kerr, 2003. "Design Considerations for Efficient and Effective Microarray Studies," Biometrics, The International Biometric Society, vol. 59(4), pages 822-828, December.
  37. Mohammad Reza Mahmoudi & Mohsen Maleki, 2017. "A new method to detect periodically correlated structure," Computational Statistics, Springer, vol. 32(4), pages 1569-1581, December.
  38. Andrew Y. Chen, 2022. "Most claimed statistical findings in cross-sectional return predictability are likely true," Papers 2206.15365, arXiv.org, revised Mar 2024.
  39. Baolin Wu & Zhong Guan & Hongyu Zhao, 2006. "Parametric and Nonparametric FDR Estimation Revisited," Biometrics, The International Biometric Society, vol. 62(3), pages 735-744, September.
  40. Wang Chamont & Gevertz Jana L., 2016. "Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(4), pages 321-347, August.
  41. Chen, Song Xi & Guo, Bin & Qiu, Yumou, 2023. "Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding," Journal of Econometrics, Elsevier, vol. 235(2), pages 1337-1354.
  42. Nicholas T. Longford, 2013. "Searching for contaminants," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(9), pages 2041-2055, September.
  43. Angela Re & Levi Waldron & Alessandro Quattrone, 2016. "Control of Gene Expression by RNA Binding Protein Action on Alternative Translation Initiation Sites," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-25, December.
  44. Jacobo de Uña-Alvarez & Antonio Carvajal-Rodriguez, 2010. "‘SGoFicance Trace’: Assessing Significance in High Dimensional Testing Problems," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-6, December.
  45. Christiansen, Charlotte & Grønborg, Niels S. & Nielsen, Ole L., 2020. "Mutual fund selection for realistically short samples," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 218-240.
  46. Liao Zhu & Sumanta Basu & Robert A. Jarrow & Martin T. Wells, 2020. "High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 1-52, December.
  47. Neil H. Spencer, 2009. "Overcoming the multiple‐testing problem when testing randomness," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 543-553, September.
  48. Rohan Fernando & Ali Toosi & Anna Wolc & Dorian Garrick & Jack Dekkers, 2017. "Application of Whole-Genome Prediction Methods for Genome-Wide Association Studies: A Bayesian Approach," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(2), pages 172-193, June.
  49. Aurélie Nakamura & Olivier François & Johanna Lepeule, 2021. "Epigenetic Alterations of Maternal Tobacco Smoking during Pregnancy: A Narrative Review," IJERPH, MDPI, vol. 18(10), pages 1-19, May.
  50. Jiaying Gu & Roger Koenker, 2016. "On a Problem of Robbins," International Statistical Review, International Statistical Institute, vol. 84(2), pages 224-244, August.
  51. Jordan, Bradford D. & Riley, Timothy B., 2015. "Volatility and mutual fund manager skill," Journal of Financial Economics, Elsevier, vol. 118(2), pages 289-298.
  52. Andrikogiannopoulou, Angie & Papakonstantinou, Filippos, 2017. "Individual reaction to past performance sequences: evidence from a real marketplace," LSE Research Online Documents on Economics 87997, London School of Economics and Political Science, LSE Library.
  53. Ardia, David & Bluteau, Keven & Tran, Thien Duy, 2022. "How easy is it for investment managers to deploy their talent in green and brown stocks?," Finance Research Letters, Elsevier, vol. 48(C).
  54. Huixia Wang & Xuming He, 2008. "An Enhanced Quantile Approach for Assessing Differential Gene Expressions," Biometrics, The International Biometric Society, vol. 64(2), pages 449-457, June.
  55. Bethany L Dearlove & Simon D W Frost, 2015. "Measuring Asymmetry in Time-Stamped Phylogenies," PLOS Computational Biology, Public Library of Science, vol. 11(7), pages 1-16, July.
  56. Ardia, David & Hoogerheide, Lennart F., 2014. "GARCH models for daily stock returns: Impact of estimation frequency on Value-at-Risk and Expected Shortfall forecasts," Economics Letters, Elsevier, vol. 123(2), pages 187-190.
  57. Scott C Ritchie & Johannes Kettunen & Marta Brozynska & Artika P Nath & Aki S Havulinna & Satu Männistö & Markus Perola & Veikko Salomaa & Mika Ala-Korpela & Gad Abraham & Peter Würtz & Michael Inouye, 2019. "Elevated serum alpha-1 antitrypsin is a major component of GlycA-associated risk for future morbidity and mortality," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-23, October.
  58. Gaete, Michael & Herrera, Rodrigo, 2023. "Diversification benefits of commodities in portfolio allocation: A dynamic factor copula approach," Journal of Commodity Markets, Elsevier, vol. 32(C).
  59. Cui Shiqi & Ji Tieming & Li Jilong & Cheng Jianlin & Qiu Jing, 2016. "What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(2), pages 87-105, April.
  60. 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.
  61. Debashis Ghosh & Arul Chinnaiyan, 2004. "Semiparametric methods for identification of tumor progression genes from microarray data," The University of Michigan Department of Biostatistics Working Paper Series 1039, Berkeley Electronic Press.
  62. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Journal of Finance, American Finance Association, vol. 75(5), pages 2503-2553, October.
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  64. West, Kenneth D., 2006. "Forecast Evaluation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 3, pages 99-134, Elsevier.
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  67. Bourdeau-Brien, Michael & Kryzanowski, Lawrence, 2017. "The impact of natural disasters on the stock returns and volatilities of local firms," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 259-270.
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  77. Bickel David R., 2013. "Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 12(4), pages 529-543, August.
  78. Nguyen, Danh V., 2004. "On estimating the proportion of true null hypotheses for false discovery rate controlling procedures in exploratory DNA microarray studies," Computational Statistics & Data Analysis, Elsevier, vol. 47(3), pages 611-637, October.
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