메뉴 건너뛰기




Volumn 35, Issue 4, 2007, Pages 1409-1431

On the performance of FDR control: Constraints and a partial solution

Author keywords

[No Author keywords available]

Indexed keywords


EID: 50449091990     PISSN: 00905364     EISSN: None     Source Type: Journal    
DOI: 10.1214/009053607000000037     Document Type: Article
Times cited : (35)

References (18)
  • 1
    • 33746242092 scopus 로고    scopus 로고
    • Adapting to unknown sparsity by controlling the false discovery rate
    • ABRAMOVICH, F., BENJAMINI, Y., DONOHO, D. and JOHNSTONE, I. (2006). Adapting to unknown sparsity by controlling the false discovery rate. Ann. Statist. 34 584-653.
    • (2006) Ann. Statist , vol.34 , pp. 584-653
    • ABRAMOVICH, F.1    BENJAMINI, Y.2    DONOHO, D.3    JOHNSTONE, I.4
  • 2
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • BENJAMINI, Y. and HOCHBERG, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. J. Roy. Statist. Soc. Ser. B 57 289-300.
    • (1995) J. Roy. Statist. Soc. Ser. B , vol.57 , pp. 289-300
    • BENJAMINI, Y.1    HOCHBERG, Y.2
  • 3
    • 0034370950 scopus 로고    scopus 로고
    • On the adaptive control of the false discovery rate in multiple testing with independent statistics
    • BENJAMINI, Y. and HOCHBERG, Y. (2000). On the adaptive control of the false discovery rate in multiple testing with independent statistics. J. Educational and Behavioral Statistics 25 60-83.
    • (2000) J. Educational and Behavioral Statistics , vol.25 , pp. 60-83
    • BENJAMINI, Y.1    HOCHBERG, Y.2
  • 4
    • 50449109700 scopus 로고    scopus 로고
    • Positive false discovery proportions for multiple testing: Intrinsic bounds and adaptive control
    • To appear
    • CHI, Z. and TAN, Z. (2007). Positive false discovery proportions for multiple testing: Intrinsic bounds and adaptive control. Statist. Sinica. To appear.
    • (2007) Statist. Sinica
    • CHI, Z.1    TAN, Z.2
  • 5
    • 34547291918 scopus 로고    scopus 로고
    • Asymptotic minimaxity of false discovery rate thresholding for sparse exponential data
    • DONOHO, D. and JIN, J. (2006). Asymptotic minimaxity of false discovery rate thresholding for sparse exponential data. Ann. Statist. 34 2980-3018.
    • (2006) Ann. Statist , vol.34 , pp. 2980-3018
    • DONOHO, D.1    JIN, J.2
  • 7
    • 0036108220 scopus 로고    scopus 로고
    • Multiple hypotheses testing and expected number of type I errors
    • FINNER, H. and ROTERS, M. (2002). Multiple hypotheses testing and expected number of type I errors. Ann. Statist. 30 220-238.
    • (2002) Ann. Statist , vol.30 , pp. 220-238
    • FINNER, H.1    ROTERS, M.2
  • 8
    • 0036020944 scopus 로고    scopus 로고
    • Operating characteristics and extensions of the false discovery rate procedure
    • GENOVESE, C. and WASSERMAN, L. (2002). Operating characteristics and extensions of the false discovery rate procedure. J. R. Stat. Soc. Ser. B Stat. Methodol. 64 499-517.
    • (2002) J. R. Stat. Soc. Ser. B Stat. Methodol , vol.64 , pp. 499-517
    • GENOVESE, C.1    WASSERMAN, L.2
  • 9
    • 10844286757 scopus 로고    scopus 로고
    • A stochastic process approach to false discovery control
    • GENOVESE, C. and WASSERMAN, L. (2004). A stochastic process approach to false discovery control. Ann. Statist. 32 1035-1061.
    • (2004) Ann. Statist , vol.32 , pp. 1035-1061
    • GENOVESE, C.1    WASSERMAN, L.2
  • 10
    • 27944433393 scopus 로고    scopus 로고
    • Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses
    • MEINSHAUSEN, N. and RICE, J. (2006). Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses. Ann. Statist. 34 373-393.
    • (2006) Ann. Statist , vol.34 , pp. 373-393
    • MEINSHAUSEN, N.1    RICE, J.2
  • 11
    • 28444445926 scopus 로고    scopus 로고
    • R DEVELOPMENT CORE TEAM, Vienna. Available at
    • R DEVELOPMENT CORE TEAM(2005). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. Available at www.r-project.org.
    • (2005) R: A Language and Environment for Statistical Computing
  • 12
    • 33744824925 scopus 로고    scopus 로고
    • False discovery and false nondiscovery rates in single-step multiple testing procedures
    • SARKAR, S. K. (2006). False discovery and false nondiscovery rates in single-step multiple testing procedures. Ann. Statist. 34 394-415.
    • (2006) Ann. Statist , vol.34 , pp. 394-415
    • SARKAR, S.K.1
  • 14
    • 67649345185 scopus 로고
    • An improved Bonferroni procedure for multiple tests of significance
    • SIMES, R. J. (1986). An improved Bonferroni procedure for multiple tests of significance. Biometrika 73 751-754.
    • (1986) Biometrika , vol.73 , pp. 751-754
    • SIMES, R.J.1
  • 15
  • 16
    • 0345822598 scopus 로고    scopus 로고
    • The positive false discovery rate: A Bayesian interpretation and the q-value
    • STOREY, J. D. (2003). The positive false discovery rate: A Bayesian interpretation and the q-value. Ann. Statist. 31 2013-2035.
    • (2003) Ann. Statist , vol.31 , pp. 2013-2035
    • STOREY, J.D.1
  • 17
    • 1142273091 scopus 로고    scopus 로고
    • Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: A unified approach
    • STOREY, J. D., TAYLOR, J. E. and SIEGMUND, D. (2004). Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: A unified approach. J. R. Stat. Soc. Ser. B Stat. Methodol. 66 187-205.
    • (2004) J. R. Stat. Soc. Ser. B Stat. Methodol , vol.66 , pp. 187-205
    • STOREY, J.D.1    TAYLOR, J.E.2    SIEGMUND, D.3
  • 18
    • 0033472709 scopus 로고    scopus 로고
    • Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics
    • YEKUTIELI, D. and BENJAMINI, Y. (1999). Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics. J. Statist. Plann. Inference 82 171-196.
    • (1999) J. Statist. Plann. Inference , vol.82 , pp. 171-196
    • YEKUTIELI, D.1    BENJAMINI, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.