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Volumn 71, Issue 5, 2009, Pages 905-925

A Bayesian discovery procedure

Author keywords

Bayes optimal rule; False discovery rate; Loss function; Multiple comparison

Indexed keywords


EID: 70350100452     PISSN: 13697412     EISSN: 14679868     Source Type: Journal    
DOI: 10.1111/j.1467-9868.2009.00714.x     Document Type: Article
Times cited : (48)

References (39)
  • 1
    • 18444417714 scopus 로고    scopus 로고
    • Validation of oligonucleotide microarray data using microfluidic low-density arrays: A new statistical method to normalize real time RT-PCR data
    • Abruzzo, L. V., Lee, K. Y., Fuller, A., Silverman, A., Keating, M. J., Medeiros, L. J. Coombes, K. R. (2005) Validation of oligonucleotide microarray data using microfluidic low-density arrays: a new statistical method to normalize real time RT-PCR data. Biotechniques, 38, 785-792.
    • (2005) Biotechniques , vol.38 , pp. 785-792
    • Abruzzo, L.V.1    Lee, K.Y.2    Fuller, A.3    Silverman, A.4    Keating, M.J.5    Medeiros, L.J.6    Coombes, K.R.7
  • 4
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Benjamini, Y. Hochberg, Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Statist. Soc. B, 57, 289-300.
    • (1995) J. R. Statist. Soc. B , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 5
    • 69049121784 scopus 로고    scopus 로고
    • A comparison of the benjamini-hochberg procedure with some Bayesian rules for multiple testing
    • In. eds. N. Balakrishnan. E. Peña. M. Silvapulle. pp. Beachwood. Institute of Mathematical Statistics.
    • Bogdan, M., Gosh, J. Tokdar, S. (2008) A comparison of the benjamini-hochberg procedure with some Bayesian rules for multiple testing. In Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen (eds N. Balakrishnan, E. Peña M. Silvapulle pp. 211 230. Beachwood : Institute of Mathematical Statistics.
    • (2008) Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen , pp. 211-230
    • Bogdan, M.1    Gosh, J.2    Tokdar, S.3
  • 6
    • 60849125094 scopus 로고    scopus 로고
    • Bayesian optimal discovery procedure for simultaneous significance testing
    • no. 5.
    • Cao, J., Jie, X., Zhang, S., Whitehurst, A. White, M. (2009) Bayesian optimal discovery procedure for simultaneous significance testing. BMC Bioinform., 10, no. 5.
    • (2009) BMC Bioinform. , vol.10
    • Cao, J.1    Jie, X.2    Zhang, S.3    Whitehurst, A.4    White, M.5
  • 7
    • 22144461265 scopus 로고    scopus 로고
    • Preferred analysis methods for affymetrix genechips revealed by a wholly defined control dataset
    • article
    • Choe, S., Boutros, M., Michelson, A., Church, G. Halfon, M. (2005) Preferred analysis methods for affymetrix genechips revealed by a wholly defined control dataset. Genome Biol., 6, article R16.
    • (2005) Genome Biol. , vol.6 , pp. 16
    • Choe, S.1    Boutros, M.2    Michelson, A.3    Church, G.4    Halfon, M.5
  • 8
    • 33751000458 scopus 로고    scopus 로고
    • More on the inadmissibility of step-up
    • Cohen, A. Sackrowitz, H. (2007) More on the inadmissibility of step-up. J. Multiv. Anal., 98, 481-492.
    • (2007) J. Multiv. Anal. , vol.98 , pp. 481-492
    • Cohen, A.1    Sackrowitz, H.2
  • 9
    • 33747185043 scopus 로고    scopus 로고
    • Consistency of bayes estimators of a binary regression function
    • Coram, M. Lalley, S. (2006) Consistency of bayes estimators of a binary regression function. Ann. Statist., 34, 1233 1269.
    • (2006) Ann. Statist. , vol.34 , pp. 1233-1269
    • Coram, M.1    Lalley, S.2
  • 10
    • 34250746325 scopus 로고    scopus 로고
    • Multiple hypothesis testing by clustering treatment effects
    • Dahl, D. Newton, M. (2007) Multiple hypothesis testing by clustering treatment effects. J. Am. Statist. Ass., 102, 517-526.
    • (2007) J. Am. Statist. Ass. , vol.102 , pp. 517-526
    • Dahl, D.1    Newton, M.2
  • 12
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • Ferguson, T. (1973) A Bayesian analysis of some nonparametric problems. Ann. Statist., 1, 209-230.
    • (1973) Ann. Statist. , vol.1 , pp. 209-230
    • Ferguson, T.1
  • 13
    • 0000780135 scopus 로고
    • Prior distributions on spaces of probability measures
    • Ferguson, T. (1974) Prior distributions on spaces of probability measures. Ann. Statist., 2, 615-629.
    • (1974) Ann. Statist. , vol.2 , pp. 615-629
    • Ferguson, T.1
  • 14
    • 0001787029 scopus 로고
    • Bayesian density estimation by mixtures of normal distributions
    • In. eds. H. Rizvi. J. Rustagi. pp. New York. Academic Press.
    • Ferguson, T. S. (1983) Bayesian density estimation by mixtures of normal distributions. In Recent Advances in Statistics (eds H. Rizvi J. Rustagi pp. 287 302. New York : Academic Press.
    • (1983) Recent Advances in Statistics , pp. 287-302
    • Ferguson, T.S.1
  • 15
    • 33947179549 scopus 로고    scopus 로고
    • Bayesian fMRI data analysis with sparse spatial basis function priors
    • DOI 10.1016/j.neuroimage.2006.10.005, PII S1053811906010172
    • Flandin, G. Penny, W. (2007) Bayesian fmri data analysis with sparse spatial basis function priors. Neuroimage, 34, 1108 1125. (Pubitemid 46394473)
    • (2007) NeuroImage , vol.34 , Issue.3 , pp. 1108-1125
    • Flandin, G.1    Penny, W.D.2
  • 17
    • 0042671121 scopus 로고    scopus 로고
    • Posterior probability maps and spms
    • Friston, K. J. Penny, W. (2003) Posterior probability maps and spms. Neuroimage, 19, 1240 1249.
    • (2003) Neuroimage , vol.19 , pp. 1240-1249
    • Friston, K.J.1    Penny, W.2
  • 18
    • 24644441776 scopus 로고    scopus 로고
    • Bayesian nonparametric spatial modeling with Dirichlet processes mixing
    • Gelfand, A., Kottas, A. MacEachern, S. (2005) Bayesian nonparametric spatial modeling with Dirichlet processes mixing. J. Am. Statist. Ass., 100, 1021 1035.
    • (2005) J. Am. Statist. Ass. , vol.100 , pp. 1021-1035
    • Gelfand, A.1    Kottas, A.2    MacEachern, S.3
  • 20
    • 0032354013 scopus 로고
    • Bayesian multiple comparisons using dirichlet process priors
    • Gopalan, R. Berry, D. (1993) Bayesian multiple comparisons using dirichlet process priors. J. Am. Statist. Ass., 93, 1130 1139.
    • (1993) J. Am. Statist. Ass. , vol.93 , pp. 1130-1139
    • Gopalan, R.1    Berry, D.2
  • 22
    • 24344452190 scopus 로고    scopus 로고
    • Some further developments for stick-breaking priors: Finite and infinite clustering and classification
    • Ishwaran, H. James, L. (2003) Some further developments for stick-breaking priors: finite and infinite clustering and classification. Sankhya A, 65, 577-592.
    • (2003) Sankhya A , vol.65 , pp. 577-592
    • Ishwaran, H.1    James, L.2
  • 23
    • 0036661094 scopus 로고    scopus 로고
    • Dirichlet prior sieves in finite normal mixtures
    • Ishwaran, H. Zarepour, M. (2002) Dirichlet prior sieves in finite normal mixtures. Statist. Sin., 12, 941-963.
    • (2002) Statist. Sin. , vol.12 , pp. 941-963
    • Ishwaran, H.1    Zarepour, M.2
  • 24
    • 0001876649 scopus 로고
    • On a class of bayesian nonparametric estimates: I, density estimates
    • Lo, A. (1984) On a class of bayesian nonparametric estimates: I, density estimates. Ann. Statist., 12, 351-357.
    • (1984) Ann. Statist. , vol.12 , pp. 351-357
    • Lo, A.1
  • 25
    • 41349110333 scopus 로고    scopus 로고
    • Fdr and bayesian multiple comparisons rules
    • In. eds. J. M. Bernardo. M. Bayarri. J. Berger. A. Dawid. D. Heckerman. A. Smith. M. West). Oxford. Oxford University Press.
    • Müller, P., Parmigiani, G. Rice, K. (2007) Fdr and bayesian multiple comparisons rules. In Bayesian Statistics 8 (eds J. M. Bernardo, M. Bayarri, J. Berger, A. Dawid, D. Heckerman, A. Smith M. West). Oxford : Oxford University Press.
    • (2007) Bayesian Statistics 8
    • Müller, P.1    Parmigiani, G.2    Rice, K.3
  • 26
    • 10844254626 scopus 로고    scopus 로고
    • Optimal sample size for multiple testing: The case of gene expression microarrays
    • Müller, P., Parmigiani, G., Robert, C. P. Rousseau, J. (2004) Optimal sample size for multiple testing: the case of gene expression microarrays. J. Am. Statist. Ass., 99, 990 1001.
    • (2004) J. Am. Statist. Ass. , vol.99 , pp. 990-1001
    • Müller, P.1    Parmigiani, G.2    Robert, C.P.3    Rousseau, J.4
  • 27
    • 77950032550 scopus 로고    scopus 로고
    • Markov chain sampling methods for dirichlet process mixture models
    • Neal, R. M. (2000) Markov chain sampling methods for dirichlet process mixture models. J. Computnl Graph. Statist., 9, 249-265.
    • (2000) J. Computnl Graph. Statist. , vol.9 , pp. 249-265
    • Neal, R.M.1
  • 29
    • 68849114964 scopus 로고    scopus 로고
    • Hybrid Dirichlet mixture models for functional data
    • Petrone, S., Guindani, M. Gelfand, A. (2009) Hybrid Dirichlet mixture models for functional data. J. R. Statist. Soc. B, 71, 755-782.
    • (2009) J. R. Statist. Soc. B , vol.71 , pp. 755-782
    • Petrone, S.1    Guindani, M.2    Gelfand, A.3
  • 32
    • 33644910161 scopus 로고    scopus 로고
    • An exploration of aspects of bayesian multiple testing
    • Scott, J. Berger, J. (2003) An exploration of aspects of bayesian multiple testing. J. Statist. Planng Inf., 136, 2144 2162.
    • (2003) J. Statist. Planng Inf. , vol.136 , pp. 2144-2162
    • Scott, J.1    Berger, J.2
  • 33
    • 0036020892 scopus 로고    scopus 로고
    • A direct approach to false discovery rates
    • Storey, J. D. (2002) A direct approach to false discovery rates. J. R. Statist. Soc. B, 64, 479-498.
    • (2002) J. R. Statist. Soc. B , vol.64 , pp. 479-498
    • Storey, J.D.1
  • 34
    • 34249111910 scopus 로고    scopus 로고
    • The optimal discovery procedure: A new approach to simultaneous significance testing
    • Storey, J. D. (2007) The optimal discovery procedure: a new approach to simultaneous significance testing. J. R. Statist. Soc. B, 69, 347-368.
    • (2007) J. R. Statist. Soc. B , vol.69 , pp. 347-368
    • Storey, J.D.1
  • 35
    • 34147123145 scopus 로고    scopus 로고
    • The optimal discovery procedure for large-scale significance testing, with applications to comparative microarray experiments
    • Storey, J., Dai, J. Leek, J. (2007) The optimal discovery procedure for large-scale significance testing, with applications to comparative microarray experiments. Biostatistics, 8, 414-432.
    • (2007) Biostatistics , vol.8 , pp. 414-432
    • Storey, J.1    Dai, J.2    Leek, J.3
  • 36
    • 0042424602 scopus 로고    scopus 로고
    • Statistical significance for genomewide studies
    • Storey, J. Tibshirani, R. (2003) Statistical significance for genomewide studies. Proc. Natn. Acad. Sci. USA, 100, 9440 9445.
    • (2003) Proc. Natn. Acad. Sci. USA , vol.100 , pp. 9440-9445
    • Storey, J.1    Tibshirani, R.2
  • 37
    • 0035942271 scopus 로고    scopus 로고
    • Significance analysis of microarrays applied to the ionizing radiation response
    • Tusher, V., Tibshirani, R. Chu, G. (2001) Significance analysis of microarrays applied to the ionizing radiation response. Proc. Natn. Acad. Sci. USA, 98, 5116 5121.
    • (2001) Proc. Natn. Acad. Sci. USA , vol.98 , pp. 5116-5121
    • Tusher, V.1    Tibshirani, R.2    Chu, G.3
  • 38
    • 0029096148 scopus 로고
    • Analysis of fmri time-series revisited - Again
    • Worsley, K. J. Friston, K. J. (1995) Analysis of fmri time-series revisited - again. Neuroimage, 2, 173-181.
    • (1995) Neuroimage , vol.2 , pp. 173-181
    • Worsley, K.J.1    Friston, K.J.2
  • 39
    • 46749151367 scopus 로고    scopus 로고
    • Loss function approaches to predict a spatial quantile and its exceedance region
    • Zhang, J., Craigmile, P. Cressie, N. (2008) Loss function approaches to predict a spatial quantile and its exceedance region. Technometrics, 50, 216 227.
    • (2008) Technometrics , vol.50 , pp. 216-227
    • Zhang, J.1    Craigmile, P.2    Cressie, N.3


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