Sentence examples for evaluated as weighted from inspiring English sources

All estimates were evaluated as weighted averages using sample size as the weight in the following formula: R a t e j = ∑ i = 1 n i (S S i ⋅ Rate i ) N, where Rate j represents the average response rate for measure j, i indexes the group, n i is the sample size for the ith group and N is the combined sample size of all groups.

In this section, we address two related methods: (1) a method based on state space representation [17] and (2) an exemplar-based approach [18], where the converted spectra is evaluated as a weighted sum of the target training vectors.

Similarly, the effect of recovery from adaptation was evaluated as a weighted contrast between the regressor for Deviant Level 1 and those for Deviant Levels 2 5 (Deviant Level 1 < Deviant Levels 2 5), thresholded at P < 0.025 (1 tailed) and corrected for multiple comparisons (P < 0.05) using cluster size.

The effect of adaptation was evaluated as a weighted contrast between the regressors for the first and last stimuli in the adaptation sequence (first > last), thresholded at P < 0.025 (1 tailed) and corrected for multiple comparisons (P < 0.05) using a voxel-wise-threshold by cluster-size algorithm (AlphaSim in AFNI: http://afni.nimh.nih.gov/afni/doc/manual/AlphaSim).nih.gov/afni/doc/manual/AlphaSim

Therefore, to assess the overall prognostic significance of any gene g in the integrated dataset, their VC can be evaluated as the weighted combination of α and β; that is, (5) VC (g ) = (τ 1 ∗ α (g ) ) + (τ 2 ∗ β (g ) ), where α(g ) and β(g ) represent correlation factor and penalized factor for gene g, respectively, and τ1 and τ2 represent the weight associated with α and β, respectively.

All ranges were evaluated as a single observation and equally weighted in the analysis.

These studies were selected and weighted rates were evaluated as described above and in Table 3.

Weighted IBS kernel using weights is also evaluated as a candidate kernel for kSIR.

In other words, the robustness score for any set of genes defines the weighted sum of the genes VC with their weight which is evaluated as an inverse square root of the number of genes [ 26 ].

BMLs were assessed with the sagittal proton density-weighted fast spin-echo sequence with fat suppression (PD-FSE) and evaluated as absence or presence as described [ 17].

Functional MRI, including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE -MRI, have also been evaluateDCE -MRIls for assessment of response in advanced ovarian cancer.