Results 11 to 20 of about 4,058,415 (318)
Statistical mechanical foundations of power-law distributions [PDF]
, 2004 The foundations of the Boltzmann-Gibbs (BG) distributions for describing equilibrium statistical mechanics of systems are examined. Broadly, they fall into: (i) probabilistic paaroaches based on the principle of equal a priori probability (counting ...
A. K. Rajagopal, Sumiyoshi Abe
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Low statistical power in biomedical science: a review of three human research domains [PDF]
Royal Society Open Science, 2017 Studies with low statistical power increase the likelihood that a statistically significant finding represents a false positive result. We conducted a review of meta-analyses of studies investigating the association of biological, environmental or ...
Estelle Dumas-Mallet +4 more
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Type I error and power rates: A comparative analysis of techniques in differential item functioning
International Journal of Assessment Tools in Education, 2023 The main purpose of this study is to examine the Type I error and statistical power ratios of Differential Item Functioning (DIF) techniques based on different theories under different conditions.
Bayram Bıçak +1 more
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The mathematics and statistics of voting power [PDF]
Statistical Science, 2002 ¤We thank Peter Dodds, Amit Gandhi, Yuval Peres, Hal Stern, Jan Vecer, and Tian Zheng for helpful discussions. This work was supported in part by grants SES-9987748 and SES-0084368 of the U.S. National Science Foundation. Published as Gelman, A., Katz, J.N., & Tuerlinckx, F. (2002). The mathematics and statistics of voting power. Statistical Science,
Gelman, Andrew +2 more
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Correction: Why Psychologists Should by Default Use Welch’s 't'-test Instead of Student’s 't'-test
International Review of Social Psychology, 2022 This article details a correction to: Delacre, M., Lakens, D., & Leys, C. (2017). Why Psychologists Should by Default Use Welch’s 't'-test Instead of Student’s t-test. 'International Review of Social Psychology', 30(1), 92–101.
Marie Delacre +2 more
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Frontiers in Genetics, 2021 Genome-wide association study (GWAS) has identified thousands of genetic variants associated with complex traits and diseases. Compared with analyzing a single phenotype at a time, the joint analysis of multiple phenotypes can improve statistical power ...
Fengrong Liu +6 more
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A Theoretical Framework for Evaluating Psychiatric Research Strategies
Computational Psychiatry, 2017 One of the major goals of basic studies in psychiatry is to find etiological mechanisms or biomarkers of mental disorders. A standard research strategy to pursue this goal is to compare observations of potential factors from patients with those from ...
Kentaro Katahira, Yuichi Yamashita
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On the Power of Statistical Zero Knowledge [PDF]
SIAM Journal on Computing, 2017 We examine the power of statistical zero knowledge proofs (captured by the complexity class SZK) and their variants. First, we give the strongest known relativized evidence that SZK contains hard problems, by exhibiting an oracle relative to which SZK (indeed, even NISZK) is not contained in the class UPP, containing those problems solvable by ...
Adam Bouland +4 more
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Using genomic annotations increases statistical power to detect eGenes. [PDF]
, 2016 MotivationExpression quantitative trait loci (eQTLs) are genetic variants that affect gene expression. In eQTL studies, one important task is to find eGenes or genes whose expressions are associated with at least one eQTL. The standard statistical method
Duong, Dat +6 more
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How to calculate statistical power for vegetation research [PDF]
Computational Ecology and Software, 2020 Calculation of statistical power is important for proper interpretation of research results. Statistical Power depends on the selected significance level, sample size and effect size. Selection of an appropriate formula for calculating power of a test is
Mohammad Mousaei Sanjerehei
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