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Holm–Bonferroni method
Results: 13

#	Item
1	University of York Department of Health Sciences Applied Biostatistics Suggested answers to exercise: Significance tests Question 1 Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2006-10-20 06:33:00 Statistical hypothesis testing Null hypothesis Statistical significance Multiple comparisons Null Holm–Bonferroni method Dempster–Shafer theory Hypothesis testing Statistics P-value
2	Jahrbücher f. Nationalökonomie u. Statistik (Lucius & Lucius, Stuttgart[removed]Bd. (Vol[removed]Multiple Comparisons and Joint Significance in Panel Unit Root Testing with Evidence on International Interest Rate Linkag Add to Reading List Source URL: www.jbnst.de Language: English - Date: 2015-01-27 04:57:44 False discovery rate Statistical hypothesis testing Holm–Bonferroni method Statistical power Resampling Multiple comparisons Bootstrapping P-value Test statistic Statistics Hypothesis testing Null hypothesis
3	I Vol. 176:[removed],1999 MARINE ECOLOGY PROGRESS SERIES Mar Ecol Prog Ser Add to Reading List Source URL: www.int-res.com Language: English Design of experiments Statistical inference Multiple comparisons Bonferroni correction Statistical power Holm–Bonferroni method Statistical hypothesis testing F-test P-value Statistics Hypothesis testing Statistical tests
4	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
5	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
6	Multiple Comparison Tests for Balanced, One-Factor Designs Term Paper FRST 533 Dec. 15, 2005 Add to Reading List Source URL: biometrics.forestry.ubc.ca Language: English - Date: 2013-06-10 18:07:41 Multiple comparisons Analysis of variance Design of experiments Newman–Keuls method F-test Holm–Bonferroni method Statistical hypothesis testing Studentized range Statistical significance Statistics Hypothesis testing Statistical tests
7	arXiv:submit[removed]math.ST] 10 Jun[removed]Optimality of the Westfall-Young permutation procedure for multiple testing under dependence Nicolai Meinshausen ∗ and Marloes Maathuis ∗ and Peter B¨ uhlmann Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2011-06-10 10:23:22 Resampling Holm–Bonferroni method Bonferroni correction Statistical hypothesis testing Statistical power Statistical significance Permutation F-test P-value Statistics Hypothesis testing Statistical tests
8	Designing Secure Systems that People Can Use Add to Reading List Source URL: cups.cs.cmu.edu Language: English - Date: 2014-02-05 13:44:03 P-value Statistical hypothesis testing Statistical power F-test Bonferroni correction Alternative hypothesis Size Holm–Bonferroni method Statistical significance Statistics Hypothesis testing Null hypothesis
9	Multiple Comparison Procedures for Binomial Distributions Jie Peng Department of Finance, Economics and Decision Science St. Ambrose University, Davenport, Iowa[removed]Introduction Add to Reading List Source URL: srcos2014.blogs.rice.edu Language: English - Date: 2014-07-29 10:28:08 Holm–Bonferroni method Statistical hypothesis testing Statistical power F-test Data analysis Type I and type II errors Confidence interval Sample size determination Bonferroni correction Statistics Hypothesis testing Multiple comparisons
10	A novel characterization of the generalized family wise error rate using empirical null distributions Jeffrey C. Miecznikowski∗ Department of Biostatistics SUNY University at Buffalo 433 Kimball Tower Add to Reading List Source URL: sphhp.buffalo.edu Language: English - Date: 2014-07-04 07:09:55 Statistical inference Normal distribution Holm–Bonferroni method Multiple comparisons Estimation theory Non-parametric statistics Statistics Statistical tests Hypothesis testing