Sentence examples for graphical inspection of from inspiring English sources

We can draw the same conclusion from graphical inspection of Figure  6: the graphic shows the Kaplan-Meier curves for the low- and the high-risk groups (defined using the median score as a cutpoint) derived using the combined (green line) and the clinical (red line) models.

Visual validation describes the graphical inspection of (Q SAR model validation.

We propose visual validation, as an approach for the graphical inspection of (Q SAR model validation results.

Indeed, 5 % perturbation in a stimulus is undetectable by a simple graphical inspection of the spike trains (bottom panels in the figure), but the finer statistical analysis can detect the difference between the models.

As a result the negotiated part of the wages continued to rise even during years of economic downturn (grey area).16 However, a simple graphical inspection of the evolution of the negotiated (red line) and residual (black line) part of the wages shows that in 2009 and in 2014, firms compensated for the increase of the negotiated part of the wages by reducing the residual component.17.

Graphical inspection of autocorrelelogram from this model revealed residual correlation between the number of laboratory reports on a given day and the 21 days previous.

Graphical inspections of Student's t-distributions corroborate this finding: when ν=1, the Student's t-distributions presents some observations that fall very far away from the mean, whereas for ν=10 the observations spread out more evenly around the mean.

Heterogeneity between studies was assessed by graphical inspections of the forest plots and by Cochran's Chi-squared (χ 2 ) test of homogeneity, and subgroup analyses evaluating methodological and clinical heterogeneity between studies.

Heterogeneity of effects across strata was assessed using meta-analytic techniques, including both graphical inspection and calculation of meta-analytic Q-statistics [ 25].

Graphical inspection (time series traces) of the chains along with Heidelberger and Welch Diagnostic [ 20] for the Gibbs output using CODA (Convergence Diagnostics and Output Analysis package in R) [ 21] were used to determine a common length of burn-in period.

In a five-step approach, including pre-screen, primary filtering of inhibitors, re-screen, secondary filtering of inhibitors and graphical inspection and final selection, CAVS leads to selection of specific STAT inhibitory compounds.