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Statistical significance
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#	Item
71	Beyond power calculations: Assessing Type S (sign) and Type M (magnitude) errors1 Andrew Gelman2 and John Carlin3 Abstract. Statistical power analysis provides the conventional approach to assess error rates when designi Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2014-07-15 14:32:23 Effect size Statistical hypothesis testing Statistical significance Standard error Publication bias Sample size determination Confidence interval Sampling Multiple comparisons Statistics Hypothesis testing Statistical power
72	The Difference between "Significant" and "Not Significant" Is Not Itself Statistically Significant Author(s): Andrew Gelman and Hal Stern Reviewed work(s): Source: The American Statistician, Vol. 60, No. 4 (Nov., 2006), Add to Reading List Source URL: datacolada.org Language: English - Date: 2014-03-11 10:58:08 Statistical significance Effect size P-value Null hypothesis Confidence interval F-test Standard error Statistical power Clinical significance Statistics Hypothesis testing Statistical hypothesis testing
73	ANALYSIS Power failure: why small sample size undermines the reliability of neuroscience Katherine S. Button1,2, John P. A. Ioannidis3, Claire Mokrysz1, Brian A. Nosek4, Jonathan Flint5, Emma S. J. Robinson6 and Ma Add to Reading List Source URL: datacolada.org Language: English - Date: 2013-10-10 11:20:46 Hypothesis testing Research methods Medical statistics Systematic review Clinical research Meta-analysis Publication bias Statistical significance Statistical power Science Statistics Knowledge
74	Health Sciences M.Sc. Programme Applied Biostatistics Week 5: Significance tests Testing a hypothesis Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2012-02-01 09:16:19 Design of experiments Statistical inference P-value Statistical hypothesis testing Null hypothesis Multiple comparisons Z-test Statistical significance F-test Statistics Hypothesis testing Statistical tests
75	Microsoft PowerPoint - sigtest_compact Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2009-01-29 10:26:23 Design of experiments Statistical inference Non-parametric statistics Statistical hypothesis testing Null hypothesis P-value Type I and type II errors Statistical significance Sign test Statistics Hypothesis testing Statistical tests
76	Microsoft Word - boneex2_sol.doc Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2005-04-25 11:07:50 P-value Standard deviation F-test Clinical significance Errors and residuals in statistics Statistical power Statistical hypothesis testing Statistics Hypothesis testing Statistical significance
77	research-article2015 PSSXXX10.1177/0956797614567341SimonsohnSmall Telescopes Psychological Science OnlineFirst, published on March 23, 2015 as doi: Add to Reading List Source URL: datacolada.org Language: English - Date: 2015-05-05 06:08:46 Statistical inference Research methods Statistical tests Statistical hypothesis testing Statistical power Effect size Statistical significance Confidence interval Publication bias Statistics Hypothesis testing Design of experiments
78	Clinical Biostatistics Significance Tests Martin Bland Professor of Health Statistics University of York Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2007-04-23 09:15:16 Design of experiments Statistical inference Non-parametric statistics Statistical hypothesis testing Null hypothesis P-value Type I and type II errors Statistical significance Sign test Statistics Hypothesis testing Statistical tests
79	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
80	Psychological Bulletin 1971, Vol. 76, No. 2, BELIEF IN THE LAW OF SMALL NUMBERS AMOS TVERSKY AND DANIEL KAHNEMAN 1 Hebrew University of Jerusalem Add to Reading List Source URL: datacolada.org Language: English - Date: 2014-08-18 11:16:57 Design of experiments Statistical power Statistical hypothesis testing Sample size determination Statistical significance Null hypothesis Confidence interval Sampling Data dredging Statistics Hypothesis testing Statistical inference

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