When one global, multivariate test, with all four markers associated with poor OS was analysed, we found that none of the variables remained independent and the combined P-value was not significant (0.0544).
However, the top metabolite in the associations was Albumin, and when we repeated the multivariate test with the lipoprotein traits considered here, these associations were no longer genome-wide significant (P = 2.5e-4 and P = 6.4e-7).
A multivariate test with a logistic regression model will be performed, using the final combined variable (adherence and medication errors) as the dependent variable, and using as independent variables those identified to be associated in the bivariate analysis.
There is little experience with multivariate tests of equivalence (see e.g. [ 29- 31]).
In this section, we conduct multivariate tests examining the interactions of ATPs with excess cash, industry competition, and public pension fund ownership with bidder returns.
Statistical analysis was performed with univariate and multivariate tests, as appropriate.
In multivariate analysis with the clinicopathological parameters (Table 2), the combined TGF- β1 level remained statistically significant in multivariate tests.
Normality tests, i.e., univariate and multivariate normality tests, with reference to the values of skewness and kurtosis of the observed variables, were conducted in this study to test the assumption of normality in SEM.
In this paper we present an extension of the synchronized permutation tests for main factors and interaction introduced by Pesarin [2001. Multivariate Permutation Tests with Applications to Biostatistics. Wiley, Chichester] and Salmaso [2003. Synchronized permutation tests in factorial designs. Comm. Statist.
The following settings were employed: a univariate test random variance model, multivariate permutation tests with 10,000 random permutations, a confidence level of false discovery rate assessment = 99%, and a maximum allowed number of false-positive genes = 10.
