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Statistical hypothesis testing / Effect size / Multiple comparisons / Confidence interval / F-test / P-value / Null hypothesis / Clinical significance / Two-way analysis of variance / Statistics / Hypothesis testing / Statistical significance


The difference between “significant” and “not significant” is not itself statistically significant∗ Andrew Gelman† Hal Stern‡
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Document Date: 2005-12-20 09:08:52

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City

London / /

Company

CRC Press / /

/

Facility

Columbia University / University of California / /

IndustryTerm

public health applications / /

Organization

Department of Political Science / National Science Foundation / American Statistical Association / University of California / Irvine / Columbia University / New York / Department of Statistics / /

Person

Elliott / Howard Wainer / Andrew Gelman† Hal Stern / /

Position

D. J. / /

ProvinceOrState

California / New York / /

PublishedMedium

Journal of the American Statistical Association / /

URL

www.ics.uci.edu/∼sternh / www.stat.columbia.edu/∼gelman / /

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