Multivariate Permutation Tests : With Applications in Biostatistics

By Fortunato Pesarin. 2001

505 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Interpreting support vector machine models for multivariate group wise analysis in neuroimaging (2015, positive): “Indeed there is an entire literature on permutation testing (Pesarin and Wiley, 2001).”
A systematic comparison of methods for combining p (2004, methodology): “The general situation considered is that of combining k¿ 2 independent tests (the combination of dependent tests is considered by Pesarin, 2001).”
The WTO trade effect (2011, methodology): “Formore on permutation (or randomization) tests in general, see Hollander andWolfe (1999), Pesarin (2001), Ernst (2004), and Lehmann and Romano (2005), among others.”
A test for the two-sample problem based on empirical characteristic functions (2008, background): “It is described in Pesarin (2001) (see also Salmaso and Solari (2005)).”
Finite-sample consistency of combination-based permutation tests with application to repeated measures designs (2010, methodology): “In Pesarin (2001) it is shown that, under very mild conditions, the power function of permutation tests based on associative statistics monotonically increases as the related standardised noncentrality functional increases.”
The permutation testing approach: a review (2010, methodology): “In order to be suitable for test combination (Pesarin, 2001; Pesarin and Salmaso, 2010), all combining functions must satisfy at least the following reasonable properties: PC.1.”
Permutation inference for the general linear model (2014, background): “…when permuting the model, restricting the set of all otherwise possible permutations to only those that respect the relationship between observations (Pesarin, 2001); observations that are exchangeable only in some subsets of all possible permutations are said weakly exchangeable (Good, 2002).”
Permutation tests for multi-factorial analysis of variance (2003, methodology): “(For alternative approaches using other test statistics, see Pesarin, 2001).”
Multiple hypothesis testing in genomics (2014, methodology): “We refer readers unfamiliar with the basics or fundamentals of permutation testing to the books by Good [33] and Pesarin [34].”
Secondary metabolites of Pinus halepensis alter decomposer organisms and litter decomposition during afforestation of abandoned agricultural zones (2014, methodology): “However, MANOVA is sensitive to deviations from multivariate normality, so we used a more robust permutationbased procedure, PMANOVA (PRIMER software v6, Primer-E Ltd, UK; Pesarin 2001).”
Some remarks about the number of permutations one should consider to perform a permutation test (2004, methodology): “To estimate LT we use the conditional Monte Carlo method (CMC) described in Pesarin (1992, 2001)1.”
Levene type tests for the ratio of two scales (2011, background): “However, as in the case of the bootstrap test, the p-value converges to α as min(n1, n2) → ∞ with n1/n2 → constant [25].”