Comment: Microarrays, Empirical Bayes and the Two-Group Model
T. Tony Cai
Source: Statist. Sci. Volume 23, Number 1 (2008), 29-33.
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Permanent link to this document: http://projecteuclid.org/euclid.ss/1215441278
Digital Object Identifier: doi:10.1214/07-STS236C
References
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.
Mathematical Reviews (MathSciNet):
MR1325392
JSTOR: links.jstor.org
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.
Benjamini, Y. and Yekutieli, D. (2001). The control of the false discovery rate under dependency. Ann. Statist. 29 1165–1188.
Mathematical Reviews (MathSciNet):
MR1869245
Digital Object Identifier: doi:10.1214/aos/1013699998
Project Euclid: euclid.aos/1013699998
Cai, T., Jin, J. and Low, M. (2007). Estimation and confidence sets for sparse normal mixtures. Ann. Statist. 35 2421–2449.
Mathematical Reviews (MathSciNet):
MR2382653
Digital Object Identifier: doi:10.1214/009053607000000334
Project Euclid: euclid.aos/1201012967
Copas, J. (1974). On symmetric compound decision rules for dichotomies. Ann. Statist. 2 199–204.
Mathematical Reviews (MathSciNet):
MR368243
Digital Object Identifier: doi:10.1214/aos/1176342626
Project Euclid: euclid.aos/1176342626
Efron, B. (2004). Large-scale simultaneous hypothesis testing: The choice of a null hypothesis. J. Amer. Statist. Assoc. 99 96–104.
Mathematical Reviews (MathSciNet):
MR2054289
Digital Object Identifier: doi:10.1198/016214504000000089
Efron, B. (2005). Local false discovery rates. Available at http://www-stat.stanford.edu/~brad/papers/False.pdf.
Efron, B., Tibshirani, R., Storey, J. and Tusher, V. (2001). Empirical Bayes analysis of a microarray experiment. J. Amer. Statist. Assoc. 96 1151–1160.
Mathematical Reviews (MathSciNet):
MR1946571
Digital Object Identifier: doi:10.1198/016214501753382129
JSTOR: links.jstor.org
Genovese, C. and Wasserman, L. (2002). Operating characteristic and extensions of the false discovery rate procedure. J. Roy. Statist. Soc. Ser. B 64 499–517.
Mathematical Reviews (MathSciNet):
MR1924303
Digital Object Identifier: doi:10.1111/1467-9868.00347
JSTOR: links.jstor.org
Genovese, C. and Wasserman, L. (2004). A stochastic process approach to false discovery control. Ann. Statist. 32 1035–1061.
Mathematical Reviews (MathSciNet):
MR2065197
Digital Object Identifier: doi:10.1214/009053604000000283
Project Euclid: euclid.aos/1085408494
Jin, J. and Cai, T. (2007). Estimating the null and the proportion of non-null effects in large-scale multiple comparisons. J. Amer. Statist. Assoc. 102 495–506.
Mathematical Reviews (MathSciNet):
MR2325113
Digital Object Identifier: doi:10.1198/016214507000000167
Storey, J. (2002). A direct approach to false discovery rates. J. Roy. Statist. Soc. Ser. B 64 479–498.
Mathematical Reviews (MathSciNet):
MR1924302
Digital Object Identifier: doi:10.1111/1467-9868.00346
JSTOR: links.jstor.org
Sun, W. and Cai, T. (2007). The oracle and compound decision rules for false discovery rate control. J. Amer. Statist. Assoc. 102 901–912.
Wu, W. (2008). On false discovery control under dependence. Ann. Statist. 36 364–380.
Mathematical Reviews (MathSciNet):
MR2387975
Digital Object Identifier: doi:10.1214/009053607000000730
Project Euclid: euclid.aos/1201877305
