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False discovery rate
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31	BIOSTATISTICS SEMINAR Matthew Stephens, Ph.D. Department of Human Genetics University of Chicago False Discovery Rates – a new deal False Discovery Rate (FDR) methodology, first put forward by Benjamini and Hochberg, a Add to Reading List Source URL: sph.unc.edu Language: English - Date: 2014-09-19 15:15:34 Data False discovery rate FDR Statistics Franklin D. Roosevelt P-value Genomics Information Hypothesis testing Science
32	J. R. Statist. Soc. B[removed], Part 4, pp. 405–416 Discovering the false discovery rate Yoav Benjamini Tel Aviv University, Israel Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-09-18 18:10:23 Familywise error rate Multiple comparisons Statistical hypothesis testing Statistical power Resampling P-value Stepwise regression Franklin D. Roosevelt Null hypothesis Statistics Hypothesis testing False discovery rate
33	SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds Add to Reading List Source URL: www.biomedcentral.com Language: English Holm–Bonferroni method Bonferroni correction Multiple comparisons False discovery rate Statistical hypothesis testing Familywise error rate Null hypothesis Hypothesis P-value Hypothesis testing Statistics Closed testing procedure
34	Spring[removed]Stat C141/ Bioeng C141 - Statistics for Bioinformatics Course Website: http://www.stat.berkeley.edu/users/hhuang/141C-2008.html Section Website: http://www.stat.berkeley.edu/users/mgoldman GSI Contact Info: Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2008-04-02 12:07:43 Multiple comparisons False discovery rate P-value Statistical significance Type I and type II errors Statistical hypothesis testing Null hypothesis Normal distribution Holm–Bonferroni method Hypothesis testing Statistics Bonferroni correction
35	C ONTRIBUTED RESEARCH ARTICLE 1 sgof: An R Package for Multiple Testing Problems Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2014-11-25 11:20:02 P-value Confidence interval Statistical hypothesis testing Statistical power Statistical significance Beta-binomial distribution Multiple comparisons Normal distribution Resampling Statistics Hypothesis testing False discovery rate
36	Summary and discussion of: “Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing” Statistics Journal Club, [removed]Beau Dabbs and Philipp Burckhardt[removed] Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-09-27 08:43:43 Familywise error rate Bonferroni correction Multiple comparisons Statistical power Statistical hypothesis testing Null hypothesis P-value Type I and type II errors Statistical significance Hypothesis testing Statistics False discovery rate
37	SEQUENTIAL SELECTION PROCEDURES AND FALSE DISCOVERY RATE CONTROL arXiv:1309.5352v2 [math.ST] 25 Apr[removed]By Max Grazier G’Sell, Stefan Wager, Alexandra Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-08-27 17:53:38 Statistical hypothesis testing Null hypothesis Statistical power P-value Familywise error rate Resampling F-test Test statistic Franklin D. Roosevelt Statistics Hypothesis testing False discovery rate
38	Controlling the False Discovery Rate via Knockoffs Rina Foygel Barbera and Emmanuel Candèsb a b Department of Statistics, University of Chicago, Chicago, IL 60637, U.S.A. Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-08-27 17:53:36 Econometrics Estimation theory Parametric statistics Linear regression Variance Independence Statistics Probability theory Regression analysis
39	J. R. Statist. Soc. B[removed], Part 3, pp. 479–498 A direct approach to false discovery rates John D. Storey Stanford University, USA Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-09-20 00:19:41 Statistical hypothesis testing P-value Multiple comparisons Confidence interval Statistical power Type I and type II errors Familywise error rate F-test Curry–Howard correspondence Statistics Hypothesis testing False discovery rate
40	Package ‘multtest’ December 1, 2014 Title Resampling-based multiple hypothesis testing Version[removed]Author Katherine S. Pollard, Houston N. Gilbert, Yongchao Ge, Sandra Taylor, Sandrine Dudoit Add to Reading List Source URL: www.bioconductor.org Language: English - Date: 2014-12-03 13:20:14 False discovery rate Multiple comparisons P-value Null hypothesis Familywise error rate Statistical power Type I and type II errors Null Resampling Statistics Hypothesis testing Statistical hypothesis testing