Sentence examples for be robust in this from inspiring English sources

Exact(5)

Since rehabilitation clinics often have patients with various conditions, it is important that the measures used can be shown to be robust in this way.

cMany common distance-based algorithms, such as the Neighbor Joining (NJ) algorithm [ 31, 32], are known to be robust in this sense.

GARP therefore has the benefit of being able to project rule sets onto the environmental layers of a different landscape and has been shown to be robust in this application [ 25, 41].

While other generic health measures have reported floor and ceiling effects in MS cohorts, the HUI3 has been reported to be robust in this patient population [ 1, 6, 21].

Using different cut-off values classifying between 5% and 50% of the tumors as "low ATM expressors", we confirmed the model to be robust in this cohort as well (P-values varying from 0.20 to < 0.01; notably, setting a cut-off between 5% and 25%, all P-values were < 0.05; Figure 2B; multivariate analysis: overall test of the model; P = 0.007).

Similar(54)

Our results confirm that tumour lipids, previously reported as a prognostic biomarker, are robust in this larger cohort.

Results (Table 5) show that our method is robust in this experiment, in the sense that the values of the three evaluation criteria do not change significantly.

Initial explorations of this method showed that the obtained ON and OFF filters are robust in this respect the maximum-likelihood procedure does not alter their shapes (Fig. 7b).

We show that published GRNs, including those of E. coli, M. tuberculosis, P. aeruginosa, S. cerevisiae, mouse and humans are robust in this way, a property we term 'Buffered Qualitative Stability' (BQS).

We designed the scales for use of 8 19 year olds and then challenged the scales with younger children to see if the scales were robust in this age group.

The effective population size N e can have a large effect on the operation of the ratchet, but only for the minority of mutations with effects that are very close to the 'wall of background selection' and would be eliminated deterministically by selection; because we simulate the whole range of realistic N e values, our results are robust in this regard as well.

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