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]

First Page		Document Content
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		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 Download Document from Source Website File Size: 276,22 KB Share Document on Facebook

	GRADUATE SEMINAR Olusesan Ogunsanya Hypothesis testing for three main Reliability models MSc Student supervised by Andrei Volodin Wednesday, April 4th DocID: 1xVb7 - View Document
	Evolutionary Psychology and Human Reasoning: Testing the Domain-Specificity Hypothesis through Wason Selection Task Fabrizio Ferrara ()* Amedeo Esposito ()* Barbara Piz DocID: 1viUq - View Document
	Hypothesis testing and infection prevalence Ross A. Alford, School of Marine and Tropical Biology, James Cook University, Townsville, Queensland 4811, Australia. Email Presented at the 2004 meeting DocID: 1vaca - View Document
	Two-sample hypothesis testing for random dot product graphs Minh Tang Department of Applied Mathematics and Statistics Johns Hopkins University DocID: 1uUvz - View Document
	The failure of null hypothesis significance testing when studying incremental changes, and what to do about it∗ Andrew Gelman† 3 JulAbstract DocID: 1uUlT - View Document