The relevance of any possibly significant covariate when using a generalized linear model should be further investigate by means of an appropriate statistical test. The most known parametric approach might fail when some assumptions are missing, losing the control of type I error. Permutation tests can often be useful in these situations, requiring fewer assumptions, and we will apply them in this general framework.
De Santis R., G.J.J. (2022). Conditional tests for generalized linear models.
Conditional tests for generalized linear models
Vesely A.;
2022
Abstract
The relevance of any possibly significant covariate when using a generalized linear model should be further investigate by means of an appropriate statistical test. The most known parametric approach might fail when some assumptions are missing, losing the control of type I error. Permutation tests can often be useful in these situations, requiring fewer assumptions, and we will apply them in this general framework.File in questo prodotto:
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