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"statistically robust" is a correct and commonly used phrase in written English.
It is often used in scientific or research writing to describe data analysis methods or results that are reliable and consistent. Example: The study used a statistically robust sampling method to ensure accuracy in the results.
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They expect their next report, due this September, to produce more statistically robust evidence.
Nobody would claim that a sample of one receipt is statistically robust.
Where possible at least 300 individual benthic tests were picked, this enables statistically robust analysis28,61.
Second, we need to adopt a statistically robust judicial standard for partisan gerrymandering.
The results showed that the model was statistically robust.
Activity strength was the most statistically robust measure for relating human activities to indoor bioaerosol levels.
And it is difficult to get statistically robust results if the sample of service users is small".
Can we automate a statistically robust "interestingness" criterion to filter the data stream that humans can then follow up on?
But a statistically robust rubric can help judges identify and release people who really are low risk.
The data quality control and processing use objective, statistically robust techniques.
The board heard that there were now concerns, not raised previously, that the sample size for one quarter's data was insufficiently large to be statistically robust.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com