Here, we tested the ability of each of these widely used correlation measures and tools to detect a variety of dependent relationships in both simulated and real microbial data sets.

Correlation coefficients are indicators of the strength of the linear relationship between two different variables, x and y. A linear correlation coefficient that is greater than zero indicates a ...

Correlation—In statistics, dependence or association is any statistical relationship, whether causal or not, between two variables Causation—Indicates a relationship between two variables where one ...

We propose a nonparametric estimator of the correlation function in such data, using kernel methods. We develop a pointwise asymptotic normal distribution for the proposed estimator, when the number ...

Three mathematical models for the joint action of two drugs are considered, each model being a special case of a more general model for the joint action of drugs showing complete positive correlation ...

Allured by the promise of Big Data, science has shortchanged causal explanation in favor of data-driven prediction. But ultimately we must ask why.