When the effect of a treatment is evaluated according to several outcomes, a suitable multivariate test must be applied. When the number of response variables is very large, especially in the presence of a small number of patients, typical multivariate parametric solutions (such as Hotelling T-square test) are not possible. As a motivating example, we consider a randomized controlled trial to test the effectiveness of a specific myotensive technique.
Permutation multivariate tests for treatment effect: theory and recent debelopments
Stefano Bonnini
;Getnet Melak
2019
Abstract
When the effect of a treatment is evaluated according to several outcomes, a suitable multivariate test must be applied. When the number of response variables is very large, especially in the presence of a small number of patients, typical multivariate parametric solutions (such as Hotelling T-square test) are not possible. As a motivating example, we consider a randomized controlled trial to test the effectiveness of a specific myotensive technique.File in questo prodotto:
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