Test di permutazione multidimensionali per misure ripetute: applicazioni alle curve di crescita tumorali in modelli animali

Abstract

This paper deals with an application of non parametric multivariate permutation methods (Pesarin, 1992, 1997, 1999) for the comparison of cancer growth patterns in animal models. The analyzed data come from an experiment whose purpose consists of revealing the anticancer activity of a new taxol synthetic drug. We are interested in testing if the growth inhibition effect due to treatment is statistically significant. To compare treated with untreated growths we face some multivariate testing problems related with repeated measures. A parametric approach for the solution of these hypotheses testing problems is not possible because in our case the number of observed units is less then the number of repeated measures.