The results of these multivariate analyses are described below.
Both descriptive statistics and results from multivariate analyses are presented.
Predictors for PSS score in migraine patients based on multivariate analyses are summarized in Table 4.
In Table 2, univariate and multivariate analyses are shown for predictors of 100% compliance.
Risk factors contributing to suicidality by multivariate analyses are documented in Table 3.
Multivariate analyses are presented utilizing metavariables that were obtained in the curve fitting process of the measured parameters growth and respiration and the factor growth efficiency.
Particularly, multivariate analyses are essential when flood-routing processes significantly attenuate flood peaks, such as in dams and flood management in flood-prone areas.
Multivariate analyses are advantageous for the simultaneous testing of the separate and combined effects of many variables and of their interactions.
Results of multivariate analyses are presented as odds-ratios and 95%-confidence intervals.
All these tests can be performed under different assumptions and with slightly different approaches, and multivariate analyses are generally performed.
Measures of association and the respective credibility intervals of the multivariate analyses are shown in Table 2 for results based on ELISA and in Table 3 for results based on Kato-Katz thick smear.
