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The phrase "larger sample size" is correct and usable in written English.
You can use it when referring to a set of items, people, or data that are chosen from a larger population in order to represent that population as a whole. For example, "Using a larger sample size of 1,000 patients allowed us to draw more accurate conclusions about the study."
Exact(60)
Further research is recommended with a larger sample size.
Further studies with larger sample size are required to address this important point.
If you take a larger sample size, the evidence is even more conclusive.
However, a larger sample size is necessary in order to work out these up-and-down Giants.
However, their results were consistent with those in our study, which had a much larger sample size.
Future studies with larger sample size are warranted for demonstrating efficacy of KD for improving neurological recovery.
To further validate miR-26a as a new diagnostic biomarker, a larger sample size in a prospective experiment is needed.
These findings might suggest that a larger sample size is required to reproduce the effect detected in depressed patients.
The space requirements and cost associated with the ferret model did not allow for a larger sample size.
Such studies would benefit from a larger sample size, a more representative control series, and/or a prospective design.
No effect on bacterial load was identified, however with a larger sample size this may be noted.
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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