Discovering the False Discovery Rate
Tóm tắt
Từ khóa
Tài liệu tham khảo
Abramovich, 1996, Adaptive thresholding of wavelet coefficients, Computnl Statist. Data Anal., 22, 351, 10.1016/0167-9473(96)00003-5
Abramovich, 2006, Adapting to unknown sparsity by controlling the false discovery rate, Ann. Statist., 34, 584, 10.1214/009053606000000074
Benjamini, 2010, Simultaneous and selective inference: current successes and future challenges, Biometr. J., 10.1002/bimj.200900299
Benjamini, 2009, A simple forward selection procedure based on false discovery rate control, Ann. Appl. Statist., 3, 179, 10.1214/08-AOAS194
Benjamini, 2009, Selective inference in complex research, Phil. Trans. R. Soc. Lond. A, 367, 4255
Benjamini, 1995, Controlling the false discovery rate: a practical and powerful approach to multiple testing, J. R. Statist. Soc. B, 57, 289
Benjamini, 2000, On the adaptive control of the false discovery rate in multiple testing with independent statistics, J. Educ. Behav. Statist., 25, 60, 10.2307/1165312
Benjamini, 2006, Adaptive linear step-up procedures that control the false discovery rate, Biometrika, 93, 491, 10.1093/biomet/93.3.491
Benjamini, 2001, The control of the False Discovery Rate in multiple testing under dependency, Ann. Statist., 29, 1165, 10.1214/aos/1013699998
Benjamini, 2005, False discovery rate controlling confidence intervals for selected parameters, J. Am. Statist. Ass., 100, 71, 10.1198/016214504000001907
Blanchard, 2009, Adaptive FDR control under independence and dependence, J. Mach. Learn. Res., 10, 2837
Donoho, 2004, Higher criticism for detecting sparse heterogeneous mixtures, Ann. Statist., 32, 962, 10.1214/009053604000000265
Donoho, 2006, Asymptotic minimaxity of false discovery rate thresholding for sparse exponential data, Ann. Statist., 34, 2980, 10.1214/009053606000000920
Efron, 2008, Microarrays, empirical Bayes and the two groups model, Statist. Sci., 23, 1
Gavrilov, 2009, An adaptive step-down procedure with proven FDR control under independence, Ann. Statist., 37, 619, 10.1214/07-AOS586
Genovese, 2002, Operating characteristics and extensions of the false discovery rate procedure, J. R. Statist. Soc. B, 64, 499, 10.1111/1467-9868.00347
Hochberg, 1990, More powerful procedures for multiple significance testing, Statist. Med., 9, 811, 10.1002/sim.4780090710
Van Der Laan, 2007, Multiple Testing Procedures with Applications to Genomics
Reiner-Benaim, 2007, FDR control by the BH procedure for two-sided correlated tests with implications to gene expression data analysis, Biometr. J., 49, 107, 10.1002/bimj.200510313
Sarkar, 1998, Some probability inequalities for ordered MTP2 random variables: a proof of Sime’s conjecture, Ann. Statist., 26, 494, 10.1214/aos/1028144846
Schweder, 1982, Plots of p-values to evaluate many tests simultaneously, Biometrika, 69, 493, 10.1093/biomet/69.3.493
Soriç, 1989, Statistical ‘‘discoveries’’ and effect size estimation, J. Am. Statist. Ass., 84, 608
Storey, 2002, A direct approach to false discovery rates, J. R. Statist. Soc. B, 64, 479, 10.1111/1467-9868.00346
Storey, 2004, Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach, J. R. Statist. Soc. B, 66, 187, 10.1111/j.1467-9868.2004.00439.x
Storey, 2003, Statistical significance for genome-wide experiments, Proc. Natn. Acad. Sci. USA, 100, 9440, 10.1073/pnas.1530509100
Yekutieli, 2010, Adjusted Bayesian inference for selected parameters, Preprint arXiv: 0801.0499v4
Yekutieli, 1999, Resampling based False Discovery Rate controlling procedure for dependent test statistics, J. Statist. Planng Inf., 82, 171, 10.1016/S0378-3758(99)00041-5
Benjamini, 2007, False discovery rates for spatial signals, J. Am. Statist. Ass., 102, 1272, 10.1198/016214507000000941
Benjamini, Controlling the false discovery rate: a practical and powerful approach to multiple testing, J. R. Statist. Soc. B, 57, 289
Benjamini, 1997, Multiple hypothesis testing with weights, Scand. J. Statist., 24, 407, 10.1111/1467-9469.00072
Benjamini, 2001, The control of the false discovery rate in multiple testing under dependency, Ann. Statist., 29, 1165, 10.1214/aos/1013699998
Berger, 1982, Multiparameter hypothesis testing and acceptance sampling, Technometrics, 24, 295, 10.2307/1267823
Cook, 1996, Multiplicity considerations in the design and analysis of clinical trials, J. R. Statist. Soc. A, 159, 93, 10.2307/2983471
Cox, 1965, A remark on multiple comparison methods, Technometrics, 7, 223, 10.1080/00401706.1965.10490250
Dudoit, 2002, Statistical methods for identifying differentially expressed genes in replicated cdna microarray experiments, Statist. Sin., 12, 111
Genovese, 2002, Thresholding of statistical maps in functional neuroimaging using false discovery rate, Neuroimage, 15, 870, 10.1006/nimg.2001.1037
Genovese, 2006, False discovery control with P-value weighting, Biometrika, 93, 509, 10.1093/biomet/93.3.509
Green, 2008, Statistical methods for the analysis of microarray data
Hu, 2009, Multiple hypothesis testing with groups. Technical Report
Jones, 2008, Control of the false discovery rate accounts for multiple testing in comparisons of healthcare providers, J. Clin. Epidem., 61, 232, 10.1016/j.jclinepi.2007.04.017
Meinshausen, 2008, Hierarchical testing of variable importance, Biometrika, 95, 265, 10.1093/biomet/asn007
O’Brien, 1984, Procedures for comparing samples with multiple endpoints, Biometrics, 40, 1079, 10.2307/2531158
Pacificoa, 2007, Scan clustering: a false discovery approach, J. Multiv. Anal., 98, 1441, 10.1016/j.jmva.2006.11.011
Patti, 2003, Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: potential role of pgc1and nrf1, Proc. Natn. Acad. Sci. USA, 100, 8466, 10.1073/pnas.1032913100
Reiner-Benaim, 2007, Associating quantitative behavioral traits with gene expression in the brain: searching for diamonds in the hay, Bioinformatics, 23, 2239, 10.1093/bioinformatics/btm300
Storey, A direct approach to false discovery rates, J. R. Statist. Soc. B, 64, 479, 10.1111/1467-9868.00346
Storey, 2003, Statistical significance for genomewide studies, Proc. Natn. Acad. Sci. USA, 100, 9440, 10.1073/pnas.1530509100
Tuke, 2008, Gene profiling for determining pluripotent genes in a time course microarray experiment, Biostatistics, 10, 80, 10.1093/biostatistics/kxn017
Tusher, 2001, Significance analysis of microarrays applied to the ionizing radiation response, Proc. Natn. Acad. Sci. USA, 98, 5116, 10.1073/pnas.091062498
Wacholder, 2004, Assessing the probability that a positive report is false: an approach for molecular epidemiology studies, J. Natn. Cancer Inst., 96, 434, 10.1093/jnci/djh075
Weisberg, 2003, Obesity is associated with macrophage accumulation in adipose tissue, J. Clin. Investgn, 112, 1796, 10.1172/JCI200319246
Wilkinson, 1999, Statistical methods in psychology journals—guidelines and explanations, Am. Psychol., 54, 594, 10.1037/0003-066X.54.8.594
Yekutieli, 2008, Hierarchical false discovery rate controlling methodology, J. Am. Statist. Ass., 103, 309, 10.1198/016214507000001373