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First, most predictions are generally robust across functional forms.
They are simple, accurate, and robust across populations.
This effect is robust across two very differently configured buildings.
Volumes are robust across most segments and co-product realisations have surprised on the upside.
This scaling relationship seems robust across multiple species despite large differences in plate anatomy.
We also demonstrated that estimates of H are robust across a range of time-window sizes.
This finding was consistent and robust across industries, headquarters locations, international expansion markets, and company size.
These effects are robust across various treated cohorts, and across alternative samples of schools.
The "time vs. money effect" proves robust across implicit and explicit methods of construct activation.
This result is robust across various samples, specifications, and outcome measures.
This pattern of diminishing returns to connectivity is robust across multiple citation measures of patent quality.
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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