Sentence examples for a robust comparison from inspiring English sources

The phrase "a robust comparison" is correct and usable in written English.
It can be used when discussing a thorough and strong analysis or evaluation between two or more subjects.
Example: "In this study, we conducted a robust comparison of the two methodologies to determine which one yielded better results."
Alternatives: "a thorough comparison" or "a strong comparison".

Exact(30)

He does not have a robust comparison of methods with every relevant Premier League club.

For a robust comparison between patches, the size of the patches increases when the noise level is high.

Variations in dosimetry techniques in mammography may prevent a robust comparison of breast dose in mammography between countries and between radiology departments [22, 23, 24].

The paper shows that top-down econometric techniques, combined with bottom-up engineering analysis produced a robust comparison between Network Rail and its peers.

The distractor tasks were presented at identical locations in each of the drives and an identical suite of driver performance and subjective rating measures were elicited to allow a robust comparison between the two simulator environments.

In the context of the Yemeni conflict, an assumption was made by the authors that in the absence of external support, utilisation of maternal newborn health services was unlikely to have increased between the collection of the Yemen NHDS data in the mid 2013 and 2014 when the programme data were collected and analysed, thereby providing a robust comparison point.

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Similar(30)

In our study, use of both examination techniques was an eligibility criterion that provided a more robust comparison.

We focused on a quantitative approach that would provide a more robust comparison between suprarenal AAAs and infrarenal AAAs from high- and low-concentration-elastase rats.

Higher doses of fluoxetine may have proven more effective and a more robust comparison of duloxetine, and fluoxetine should include a broader and more optimal dose range for comparison.

While avoiding the potential aggregation bias of subgroup analysis and allowing a more robust comparison of intervention characteristics, these trials are unfortunately limited by short follow-up periods and generally report only on risk factors or biological parameters, making it difficult to assess their impact on the long-term clinical outcomes observed in our analysis.

The sample size allowed a statistically robust comparison between groups according to their glycaemic state.

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