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A simple multivariate (manova) technique allowed us to quantify the relative contributions of host and pathogen genotype to the trade-off.
Using a simple multivariate (manova) technique, we showed that the covariance between the two traits is under shared control of host and pathogen, with contributions from host genotype (57%), pathogen genotype (18.4%) and genotype × genotype interactions (12.5%).
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Multivariate (MANOVA) and univariate analyses of variance (ANOVA) were conducted to test group differences on the RAND-36 scales, controlled for age at study and gender.
SPSS version 11.0 was used for statistical purposes, using descriptive and correlation analysis, comparison of means, analysis of variance and multivariate (MANOVA), reliability and non-parametric (Mann-Whitney) tests where indicated.
The proposed multivariate visualization technique consists of a set of six maps: three univariate maps and three multivariate maps.
CCA is a multivariate analysis technique.
Multivariate regression technique was used to estimate incremental unit costs.
Employing well established and straightforward multivariate statistical techniques such as PCA, MANOVA and LDA, despite the limited number of observations, we found clear evidence that the response variables measured in our study do distinguish the four experimental groups.
The PRC method is a multivariate technique which is based on the redundancy analysis ordination technique and was performed using the CANOCO Software package, version 546.
Multivariate ANOVA (MANOVA) was followed by either two-group or multi-group discriminant function analysis.
We used multivariate ANOVA (MANOVA) to test for general changes in methylation in the region-centric analysis.
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