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Invalid Permutation Tests [PDF]
International Journal of Mathematics and Mathematical Sciences, 2010 Permutation tests are often presented in a rather casual manner, in both introductory and advanced statistics textbooks. The appeal of the cleverness of the procedure seems to replace the need for a rigorous argument that it produces valid hypothesis ...
Mikel Aickin
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Permutation test applied to lexical reconstructions partially supports the Altaic linguistic macrofamily [PDF]
Evolutionary Human Sciences, 2021 In this paper, we present the results of our analysis of the 110-item basic wordlists for four reconstructed and one ancient languages, the linguistic ancestors of five language families which are hypothesized to constitute the Altaic (a.k.a ...
Alexei S. Kassian +4 more
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A permutation test for oligoset DNA pooling studies. [PDF]
PLoS ONE, 2015 Case-control association studies often suffer from population stratification bias. A previous triple combination strategy of stratum matching, genomic controlling, and multiple DNA pooling can correct the bias and save genotyping cost. However the method
Hsiao-Yuan Huang +2 more
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Multivariate permutation test to compare survival curves for matched data [PDF]
BMC Medical Research Methodology, 2013 Background In the absence of randomization, the comparison of an experimental treatment with respect to the standard may be done based on a matched design.
Galimberti Stefania +1 more
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Permutation Tests Using Arbitrary Permutation Distributions
Sankhya A, 2023 AbstractPermutation tests date back nearly a century to Fisher’s randomized experiments, and remain an immensely popular statistical tool, used for testing hypotheses of independence between variables and other common inferential questions. Much of the existing literature has emphasized that, for the permutation p-value to be valid, one must first pick
Aaditya Ramdas +3 more
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A Multi-Aspect Permutation Test for Goodness-of-Fit Problems
Stats, 2022 Parametric techniques commonly rely on specific distributional assumptions. It is therefore fundamental to preliminarily identify the eventual violations of such assumptions. Therefore, appropriate testing procedures are required for this purpose to deal
Rosa Arboretti +5 more
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Exact Permutation and Bootstrap Distribution of Generalized Pairwise Comparisons Statistics
Mathematics, 2023 To analyze multivariate outcomes in clinical trials, several authors have suggested generalizations of the univariate Mann–Whitney test. As the Mann–Whitney statistic compares the subjects’ outcome pairwise, the multivariate generalizations are known as ...
William N. Anderson, Johan Verbeeck
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A New Analysis of Real-Time Fatality Rate in the Initial Stage of COVID-19
Entropy, 2023 Mortality is one of the most important epidemiological measures and a key indicator of the effectiveness of potential treatments or interventions. In this paper, a permutation test method of variance analysis is proposed to test the null hypothesis that ...
Chuanbo Zhou, Jiaohong Fang, Mingzhi Mao
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The efficiency of single SNP and SNP-set analysis in genome-wide association studies [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 The objective of this research is to compare and identify effective methods for the identification of gene loci associated with a disease outcome in the analysis of genome-wide data.
Sirikanlaya Sookkhee +2 more
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A Multivariate Extension of McNemar’s Test Based on Permutations
Acta Universitatis Lodziensis. Folia Oeconomica, 2020 The purpose of this publication is to propose a permutation test to detect the departure from symmetry in multidimensional contingency tables. The proposal is a multivariate extension of McNemar’s test.
Grzegorz Kończak
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