Multivariate pattern analysis describes the pattern of associations for the descriptors with the outcome, accounting for the correlated structure of the data. Associations with health are interpreted ...

Using functional magnetic resonance imaging (fMRI) and multivariate pattern analyses, we tested this possibility in Chinese-English bilinguals when they performed an implicit reading task.

Multivariate pattern analysis, which focuses on a whole-brain approach to identify differences in brain structure and activity, is gaining momentum as a new method of analysis for MRI studies of ...

In this study, researchers used functional magnetic resonance imaging (fMRI) to measure participants' brain activity and analyzed it with multivariate pattern analysis.

For the study, published in the journal Nature Communications, the researchers used a technique recently borrowed from the computer science field by neuroscientists--multivariate pattern analysis ...

Multivariate regression is a very powerful form of data analysis and happens to be more accurate when applied to the real world. In the world of business, in particular, situations are rarely ever ...

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...