Sentence examples for based on correlation or from inspiring English sources
Further research is needed to evaluate if the relationship between high mortality and higher amount of administered fluids is based on correlation or causation.
Filter methods based on correlation or mutual information ranking [21] are easy to implement; however, selecting the most relevant variables is usually suboptimal for building a predictor, particularly if the variables are redundant.
Such variability makes identification based on correlation or other distance metrics impossible.
The BN approach is more appealing than graphs constructed based on correlation or mutual information metrics for it allows rigorous statistical inference of causality between genetic and epigenetic features.
Methods for cross-study integration of gene expression data have tended to focus on differential expression in well-matched control and experimental samples [ 12], because approaches based on correlation or absolute profiles [ 13] are dominated by laboratory and platform variability in cross-study analyses [ 14].
Unlike the conventional statistical method for fractal-like aggregate structure determination, ROD is independent of empirical constants based on correlations or numerical simulations.
Critics, such as Michael Scriven (1962), advanced counter-examples that were based on correlations or "common causes": the occurrence of a storm might be predicted when cows lie down in their fields, for example, yet their behavior does not explain why the storm occurs.
The majority of these techniques are based on correlations or covariances calculated between measured signals in different voxels or regions of interest; see [7] for a review.
Analyses based on correlation coefficients or Fisher's Z are also possible, though only if the data are provided as comparative input, e.g. the association measures itself with their standard error.
The New Jersey Department of Transportation (NJDOT) uses a quantitative assessment of IR scans based on correlation to accept or reject job samples.
On one hand, it's based on correlation rather than causation; on the other, it may offer a quicker, cheaper window into existing causal models.
