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Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 9/2010, Volume 72, Issue 4, pp. 405 - 416
I describe the background for the paper 'Controlling the false discovery rate: a new and powerful approach to multiple comparisons' by Benjamini and Hochberg... 
Hypothesis testing | Error rates | Null hypothesis | Research papers | Threshing | Inference | Parting phrases | Estimators | Estimation methods | Research methods | Testimation | False coverage rate | Multiple comparisons | STATISTICAL-METHODS | GENES | STATISTICS & PROBABILITY | HYPOTHESES | Studies | Research methodology | Statistical analysis | Methodology | Summaries
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 07/2018, Volume 113, Issue 523, pp. 1156 - 1171
We present false discovery rate (FDR) smoothing, an empirical-Bayes method for exploiting spatial structure in large multiple-testing problems. FDR smoothing... 
Empirical Bayes | False discovery rate | Spatial smoothing | FDR | Fused lasso | Multiple hypothesis testing | SPARSITY | BAYES | STATISTICS & PROBABILITY | DEPENDENCE | FRAMEWORK | RANDOM-FIELD | FMRI | MULTIPLE TESTING PROCEDURES
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 1/2002, Volume 64, Issue 3, pp. 479 - 498
Journal Article
The Annals of Statistics, ISSN 0090-5364, 10/2015, Volume 43, Issue 5, pp. 2055 - 2085
Journal Article
Biostatistics, ISSN 1465-4644, 04/2017, Volume 18, Issue 2, pp. 275 - 294
Journal Article
Methods in Ecology and Evolution, ISSN 2041-210X, 06/2011, Volume 2, Issue 3, pp. 278 - 282
Journal Article
BMC Bioinformatics, ISSN 1471-2105, 07/2008, Volume 9, Issue 1, pp. 303 - 303
Journal Article
Bioinformatics, ISSN 1367-4803, 6/2008, Volume 24, Issue 12, pp. 1461 - 1462
Journal Article
Journal of Proteome Research, ISSN 1535-3893, 09/2008, Volume 7, Issue 9, pp. 3661 - 3667
Journal Article
Oikos, ISSN 0030-1299, 3/2005, Volume 108, Issue 3, pp. 643 - 647
Popular procedures to control the chance of making type I errors when multiple statistical tests are performed come at a high cost: a reduction in power. As... 
Error rates | Null hypothesis | Ecological genetics | Genomics | False negative errors | Expected values | P values | Ecology | Weierstrass M test | TESTS | ECOLOGY | ADAPTIVE-CONTROL | OPERATING CHARACTERISTICS | BONFERRONI | Research methodology | Error analysis
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 1/2004, Volume 66, Issue 1, pp. 187 - 205
Journal Article
International Journal of Approximate Reasoning, ISSN 0888-613X, 09/2018, Volume 100, pp. 105 - 114
The false discovery rate ( ) is a powerful approach to multiple testing. However, dependence among test statistics is critical for control. The way in which... 
False discovery rate | Copulas | Uncertainty | Multivariate total positivity of order 2 | Multiple testing | Dependent test statistics | ERROR RATE | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | FAMILY | DISTRIBUTIONS | CONSTRUCTION | QUASI-COPULAS | BIVARIATE COPULAS | POSITIVE DEPENDENCE | SAMPLE SELECTION
Journal Article
Biostatistics, ISSN 1465-4644, 04/2019, Volume 20, Issue 2, pp. 299 - 314
SUMMARY Penalized regression methods are an attractive tool for high-dimensional data analysis, but their widespread adoption has been hampered by the... 
P-VALUES | Lasso | MATHEMATICAL & COMPUTATIONAL BIOLOGY | False discovery rate |