Multivariate analyses revealed sample clustering by season, with a relevant proportion of the variance explained by day length, temperature, salinity, phototrophic nanoflagellate abundance, chlorophyll a, and silicate concentration.
Univariate and multivariate analyses revealed different activity for congruent vs. incongruent scenes in the lateral occipital complex, inferior temporal cortex, parahippocampal cortex, and prefrontal cortex.
Univariate and multivariate analyses revealed significant differences between the copepod species composition of the experimental sites.
Multivariate analyses revealed differences in the structure of beetle assemblages and understory vegetation between stands of the two pines.
The multivariate analyses revealed associations between various socio-economic factors (e.g. financial strain) and pain in general/all studied body sites.
The asymmetrical design of the multivariate analyses revealed a statistically significant impact of the farm on fish assemblages, with expressed seasonal species variation.
Multivariate analyses revealed that in a non-emergency scenario, open spaces with nature-related features and with urban facilities were the best-loaded attributes.
The median survival time of LMO2-positive patients was significantly longer than that of LMO2-negative patients (P <.001), and multivariate analyses revealed that high LMO2 expression was an independent predictor of longer survival (risk ratio, 0.432, P <.001).
Univariate and multivariate analyses revealed no significant effect on case fatality rate when a macrolide/β-lactam regimen was used as initial therapy.
The multivariate analyses revealed that neither RQA nor RQA & ESQ are well suited as exclusive features for the classification task at hand.
Multivariate analyses revealed that only variation in Prn and ptxP significantly affected colonization of the mouse (P 0.007 and 0.024, respectively).
