However, at 24 hours, only BNP levels independently predicted mortality by multivariate analysis, suggesting a more sensitive response in patients with a favorable outcome at this early time point.
Unlike many other multivariate procedures that are even more sensitive to initial estimates and require a good deal of statistical sophistication for interpretation, CART has an intuitive resonance with researcher consumers.
Here, we compared fMRI results from orientation-specific visual adaptation and orientation classification by MVPA, using optimized experimental designs for each, and found that the multivariate pattern classification approach was more sensitive to small differences in stimulus orientation than the adaptation paradigm.
The multivariate indication of ecosystem change was much more sensitive and powerful in detecting and monitoring environmental impacts and restoration effects than single numeric score indices.
In contrast, multivariate community analyses are supposed to be more sensitive to detect environmental responses, since information on the abundance of multiple species is not reduced to a single dimension.
More recently applied multivariate pattern recognition analyses to fMRI may be more sensitive than traditional univariate analyses methods to study the evolution of distributed activation patterns across development and could be used to predict maturation in individual subjects [ 85].
Using a component of PPA called Similarity Based Modeling, each patient's current vital signs are compared with the patient's baseline in real-time, to develop a series of residuals., These residuals are then fused into a single Multivariate Change Index (MCI a combined, personalized index that is much more sensitive than any one vital sign.
In this case multivariate analysis is (as indeed often stated in the literature) simply a more sensitive way to detect differences that – if they were bigger and more systematic – could be theoretically picked up by standard mass-univariate analysis.
We detect an increasing number of compounds as technical methods become more sensitive, so finding structure among the two dozen or more compounds detected has often relied on statistical analyses using multivariate methods such as Principal Components Analysis[24].
