Sentence examples for a robust threshold of from inspiring English sources

Suggestions(1)

The phrase "a robust threshold of" is correct and usable in written English.
It can be used when discussing a strong or significant level or limit of something, often in contexts like research, technology, or performance metrics.
Example: "The study established a robust threshold of evidence required to support the hypothesis."
Alternatives: "a strong level of" or "a significant benchmark of".

Exact(1)

There appears to be an ameliorating effect of low baseline HCV RNA on the influence of baseline NS5A polymorphisms at L31 and/or Y93H on sustained response to DCV + ASV, but it is a limitation of the study that the number of patients with low HCV RNA and these polymorphisms is too low to establish a robust threshold of effect for clinical decision making.

Similar(59)

Nevertheless, we were unable to develop a robust threshold for deterioration.

Then, it is segmented by a robust threshold selection method.

In order to compute robust threshold of correlation between neighboring frames, we collected CCE videos from nine people and extracted seven segments (50 frames each) from each video, which are marked by gastroenterologist as suspected region for different types of pathology.

In case that the traffic loads for both kinds of traffic are known imperfectly, we should define a robust Bayesian threshold frontier by means of extending the previous integrals to include simultaneously the uncertainty model for both traffics.

A robust prediction of threshold dynamics is that when the oscillation is amplified, the oscillation period increases, and the average value is moved further from the threshold value (corresponding to a decrease in the case of the average growth rate).

Previously, we assumed for the Bayesian robust threshold that there was only one type of traffic or, equivalently, that there were two types of traffic and that the load corresponding to one of them was known without uncertainty.

A robust, automated thresholding method would shorten the time and cost needed to acquire MD data via parallel processing of the images.

In sensitivity analysis, our findings were robust to a modified threshold of adherence, multiple imputation for missing data and aggregate level data pooling, but not to fixed-effects meta-analyses using generalised estimation equations.

A strength of this approach is that it allows full characterisation of thresholds for larval metamorphosis success together with a robust quantification of how sensitive these thresholds are to uncertainty in parameter estimates.

We have devised a methodology to update the age-correction tables using recent hearing threshold data from a robust sample of the NHANES (1999 2006) dataset and to extend the age-correction values to age 75��years to account for older workers.

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