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Multiple discovery
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#	Item
51	TRAMSS Home page Who is this site for? Anyone with an interest in data discovery and statistical analysis. What do I need to get something out this site? About an hour or so and an understanding of multiple regression. Add to Reading List Source URL: data-archive.ac.uk Language: English - Date: 2010-07-21 06:07:40 UK Data Archive Scientific method Statistical models Data analysis MLwiN Multilevel model Statistics Online databases University of Essex
52	A Network For Every Interest How People Actively Manage their Social Profiles Across Multiple Platforms Presented by Add to Reading List Source URL: www.140proof.com Language: English - Date: 2014-09-04 20:17:02 Social network Technology Communication Human development Social networking service Social discovery platform Social networks Mass media Social media
53	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
54	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
55	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
56	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
57	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
58	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
59	A New Approach to Business Intelligence What Makes QlikView Unique? QlikView is the world’s first associative, in-memory Business Discovery platform. It enables business users to assemble data from multiple sources, ex Add to Reading List Source URL: www.witinc.com Language: English - Date: 2012-09-17 10:11:59 Business National security Online analytical processing Mobile business intelligence In-Memory Processing Business intelligence QlikTech Data management
60	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