 In the case of univariate methods, variables are analyzed one by one using classical statistics tools (such as Student's t-test, ANOVA or mixed models) and only these with sufficient small p-values are considered relevant.However, correction strategies should be used to reduce false discoveries when multiple comparisons are conducted.For multivariate analysis, models should always be validated to ensure the results can be generalized.