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1. Full Text Discovering the false discovery rate
by Yoav Benjamini
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
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2. Full Text False Discovery Rate Smoothing
by Tansey, Wesley and Koyejo, Oluwasanmi and Poldrack, Russell A and Scott, James G
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
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3. Full Text CONTROLLING THE FALSE DISCOVERY RATE VIA KNOCKOFFS
by Rina Foygel Barber and Emmanuel J. Candès
The Annals of Statistics, ISSN 0090-5364, 10/2015, Volume 43, Issue 5, pp. 2055 - 2085
In many fields of science, we observe a response variable together with a large number of potential explanatory variables, and would like to be able to... 
Sequential hypothesis testing | Martingale theory | False discovery rate (FDR) | Lasso | Permutation methods | Variable selection | permutation methods | CONFIDENCE-INTERVALS | MODEL SELECTION | martingale theory | STATISTICS & PROBABILITY | false discovery rate (FDR) | sequential hypothesis testing | Studies | Variables | Hypothesis testing | Measurement errors | Statistical methods | Mathematical models | 62J05 | 62F03
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4. Full Text A unified approach to false discovery rate estimation
by Strimmer, Korbinian
BMC Bioinformatics, ISSN 1471-2105, 07/2008, Volume 9, Issue 1, pp. 303 - 303
Background: False discovery rate (FDR) methods play an important role in analyzing high-dimensional data. There are two types of FDR, tail area-based FDR and... 
P-VALUES | NULL | MICROARRAY | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | GENES | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | PROPORTION | EMPIRICAL BAYES | Predictive Value of Tests | Confidence Intervals | Oligonucleotide Array Sequence Analysis | Humans | Models, Statistical | Biometry - methods | Likelihood Functions | Sample Size | Algorithms | Breast Neoplasms - genetics | Female | HIV - genetics | Software | Usage | Electronic data processing | Research | Methods | Computational biology | Index Medicus
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5. Full Text Implementing False Discovery Rate Control: Increasing Your Power
by Koen J. F. Verhoeven and Katy L. Simonsen and Lauren M. McIntyre
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
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6. Full Text A Direct Approach to False Discovery Rates
by John D. Storey
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 1/2002, Volume 64, Issue 3, pp. 479 - 498
Multiple-hypothesis testing involves guarding against much more complicated errors than single-hypothesis testing. Whereas we typically control the type I... 
Error rates | Null hypothesis | Statistical theories | False positive errors | P values | Inference | Maximum likelihood estimators | Interval estimators | Point estimators | Estimation methods | Sequential p-value methods | Multiple comparisons | False discovery rate | q-values | Simultaneous inference | p-values | Positive false discovery rate | simultaneous inference | STATISTICS | STATISTICS & PROBABILITY | sequential p-value methods | positive false discovery rate | false discovery rate | multiple comparisons
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7. Full Text Copulas, uncertainty, and false discovery rate control
by Cerqueti, Roy and Lupi, Claudio
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
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8. Full Text Target-small decoy search strategy for false discovery rate estimation
by Kim, Hyunwoo and Lee, Sangjeong and Park, Heejin
BMC Bioinformatics, ISSN 1471-2105, 08/2019, Volume 20, Issue 1, pp. 438 - 438
We demonstrate that our method is almost as accurate as TDS and more time/space-efficient than TDS. Since the efficiency of our method is more evident as the... 
Discovery and exploration | Usage | Databases | Peptides | Index Medicus | False discovery rate | Target-decoy search | Target-small decoy search
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9. Full Text False discovery rate estimation for cross-linked peptides identified by mass spectrometry
by Walzthoeni, Thomas and Claassen, Manfred and Leitner, Alexander and Herzog, Franz and Bohn, Stefan and Förster, Friedrich and Beck, Martin and Aebersold, Ruedi
Nature Methods, ISSN 1548-7091, 09/2012, Volume 9, Issue 9, pp. 901 - 903
The mass spectrometric identification of chemically cross-linked peptides (CXMS) specifies spatial restraints of protein complexes; these values complement... 
LINKING | PROTEIN STRUCTURES | STRATEGY | COMPLEXES | BIOCHEMICAL RESEARCH METHODS | ARCHITECTURE | 26S PROTEASOME | Automation | Data Interpretation, Statistical | Cross-Linking Reagents - chemistry | Peptides - chemistry | Models, Molecular | False Positive Reactions | Algorithms | Databases, Protein | Protein Conformation | Software | Proteomics - methods | Mass Spectrometry - methods | Peptides - analysis | Usage | Crosslinked polymers | Peptides | Research | Mass spectrometry | Identification and classification | Methods | Estimating techniques | Index Medicus
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10. Full Text Sequential selection procedures and false discovery rate control
by G'Sell, Max Grazier and Wager, Stefan and Chouldechova, Alexandra and Tibshirani, Robert
Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 03/2016, Volume 78, Issue 2, pp. 423 - 444
We consider a multiple‐hypothesis testing setting where the hypotheses are ordered and one is only permitted to reject an initial contiguous block H 1 , … , H... 
False discovery rate | Stopping rule | Sequential testing | Multiple‐hypothesis testing | Multiple-hypothesis testing | REGRESSION | ERROR CONTROL | LASSO | STATISTICS & PROBABILITY | DRUG-RESISTANCE | MODEL | STABILITY SELECTION | VARIABLE SELECTION | Studies | Statistical analysis
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11. Full Text Improving false discovery rate estimation
by Pounds, Stanley and Cheng, Cheng
Bioinformatics, ISSN 1367-4803, 07/2004, Volume 20, Issue 11, pp. 1737 - 1745
Motivation: Recent attempts to account for multiple testing in the analysis of microarray data have focused on controlling the false discovery rate (FDR).... 
STATISTICS | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | MICROARRAY DATA | EXPRESSION DATA | MULTIPLE | Reproducibility of Results | Oligonucleotide Array Sequence Analysis - standards | Oligonucleotide Array Sequence Analysis - methods | Benchmarking - methods | Gene Expression Profiling - methods | Models, Statistical | False Positive Reactions | Algorithms | Computer Simulation | Sensitivity and Specificity | Models, Genetic | Gene Expression Profiling - standards | Quality Control | Index Medicus
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12. Full Text A scalable approach for protein false discovery rate estimation in large proteomic data sets
by Savitski, Mikhail M and Wilhelm, Mathias and Hahne, Hannes and Kuster, Bernhard and Bantscheff, Marcus
Molecular and Cellular Proteomics, ISSN 1535-9476, 09/2015, Volume 14, Issue 9, pp. 2394 - 2404
Calculating the number of confidently identified proteins and estimating false discovery rate (FDR) is a challenge when analyzing very large proteomic data... 
CELLS | PROJECT | PEPTIDES | SHOTGUN PROTEOMICS | SEARCH | PERFORMANCE | BIOCHEMICAL RESEARCH METHODS | QUADRUPOLE | TANDEM MASS-SPECTROMETRY | IDENTIFICATION | CONFIDENCE | Reproducibility of Results | Databases, Protein | Humans | Software | Proteomics - methods | Chromatography, Liquid - methods | False Positive Reactions | Tandem Mass Spectrometry - methods | Index Medicus | Special Issue
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13. Full Text Size, Power and False Discovery Rates
by Bradley Efron
The Annals of Statistics, ISSN 0090-5364, 8/2007, Volume 35, Issue 4, pp. 1351 - 1377
Modern scientific technology has provided a new class of large-scale simultaneous inference problems, with thousands of hypothesis tests to consider at the... 
Maximum likelihood estimation | Histograms | Density estimation | Estimate reliability | Scientific method | Null hypothesis | Standard deviation | Multiple Testing and High-Dimensional Data | Prostate | Statistics | Estimation methods | Empirical Bayes | Local false discovery rates | Large-scale simultaneous inference | Empirical null | empirical bayes | large-scale simultaneous inference | MIXTURE MODEL | HYPOTHESIS | EMPIRICAL BAYES METHODS | empirical null | STATISTICS & PROBABILITY | INFERENCE | local false discovery rates | DIFFERENTIAL GENE-EXPRESSION | MICROARRAY DATA | Hypothesis testing | Social sciences | Statistical methods | Studies | Mathematical problems | Technology | Spectrum analysis | Problem solving | Mathematical models | Scientific imaging | Statistical inference | Arrays | Bayesian analysis | 62G07 | empirical Bayes | 62J07
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14. Full Text Adaptive Linear Step-up Procedures That Control the False Discovery Rate
by Yoav Benjamini and Abba M. Krieger and Daniel Yekutieli
Biometrika, ISSN 0006-3444, 9/2006, Volume 93, Issue 3, pp. 491 - 507
The linear step-up multiple testing procedure controls the false discovery rate at the desired level q for independent and positively dependent test... 
Quantitative trait loci | Mathematical procedures | Error rates | Statistical variance | Null hypothesis | Statistical theories | Applied statistics | P values | Estimators | Oracles | False discovery rate | Multiple testing | Two-stage procedure | GENETIC DISSECTION | STATISTICS | multiple testing | BIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | STATISTICS & PROBABILITY | false discovery rate | COMPLEX TRAITS | two-stage procedure | Studies | Hypothesis testing | Estimating techniques | Methods
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15. Full Text GAUSSIAN GRAPHICAL MODEL ESTIMATION WITH FALSE DISCOVERY RATE CONTROL
by Weidong Liu
The Annals of Statistics, ISSN 0090-5364, 12/2013, Volume 41, Issue 6, pp. 2948 - 2978
This paper studies the estimation of a high-dimensional Gaussian graphical model (GGM). Typically, the existing methods depend on regularization techniques. As... 
Mathematical procedures | Technical reports | Covariance | Sample size | P values | Mathematical models | Covariance matrices | Estimators | Vertices | Estimation methods | False discovery rate | Multiple tests | Gaussian graphical model | RECOVERY | multiple tests | LASSO | STATISTICS & PROBABILITY | SELECTION | COVARIANCE ESTIMATION | Studies | Numerical analysis | Normal distribution | Decision making models | Graph theory | Test methods | Estimating techniques | 62H15 | 62H12
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