Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec
A review of deep learning-based information fusion techniques for multimodal medical image classification
Computers in biology and medicine
article surveys use nonparametric permutation tests analyzing experimental data permutation approach involves randomizing permuting features observed data flexible way draw statistical inferences common experimental settings particularly valuable independent observations available frequent occurrence controlled experiments economics social sciences permutation method constitutes comprehensive approach statistical inference twotreatment testing permutation concepts underlie popular rankbased tests like wilcoxon mannwhitney tests permutation reasoning limited ordinal contexts analogous tests constructed permutation measured observationsas opposed ranktransformed observationsand argue tests often preferred permutation tests also used multiple treatments ordered hypothesized effects complex datastructures hypothesis testing presence nuisance variables drawing examples experimental economics literature illustrate permutation testing solves common challenges aim help experimenters move beyond handful overused tests play today instead see permutation testing flexible framework statistical inference online version contains supplementary material available 101007s10683023097996