Sentence examples for ignored correlations from inspiring English sources
Thus, we accepted a moderate loss of statistical power by handling the paired data as unpaired and assumed that the effect of the ignored correlations between pre- and post-intervention measurements was the same in all situations.
Considering both uncertainty and correlation, existing validation metrics either ignore correlations among responses or have a relatively huge computational cost.
Existing marginal comparison methods and the hypothesis testing-based methods either ignore correlations among responses or only reach Boolean conclusions (yes or no) without accounting for the amount of discrepancy between a model and the underlying reality.
To limit the scope of this article, firstly we will assume a point-wise relationship between the input and the output, which can be described by a so-called camera (or intensity or brightness) response function (ignoring correlations both spatially and between different color channels).
Finally, one could also use the undirected joint or conditional models to learn the structure of phylogenentic or hierarchical relationships rather than learning the tree structure with standard methods that ignore correlations.
Authors usually carry out multiple univariate analyses ignoring correlations between outcome measures.
They compute the weights based on the univariate prediction strength of individual genes and ignore correlations among the genes.
Parameters were first estimated by using ordinary logistic regression, ignoring correlations between different hospitalization periods for a single patient (under "working independence").
While the previous null model [ 4] maintain in- and out- degrees of each protein, it ignore correlations associated to cellular process.
A standard way of approximating the solution to lattice models is to make a mean field approximation that ignores correlations between neighbours.
These scenarios were chosen to specifically test the currently used selection index method for possible bias due to ignoring correlations between residual effects, as proposed by [ 4].
