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The phrase "are based on a substantial number" is correct and usable in written English.
It can be used when discussing conclusions, findings, or decisions that rely on a significant amount of data or evidence.
Example: "The results of the study are based on a substantial number of participants, ensuring the reliability of the findings."
Alternatives: "are grounded in a significant amount" or "are founded on a considerable number".
Exact(1)
Finally, our results are based on a substantial number of observations, given that, on average, each of our 680 participants completed 2.14 cognitive testing sessions.
Similar(59)
For the alleles of short tandem repeat (STR) loci that are based on a varied number of tandem repeats, stochastic effects manifest as a substantial imbalance of two alleles at a given heterozygous locus, allelic dropout, and increased stutter.
The percentages of significant interactions for combinations NRG1-NRG2 aNRG2-EGFRGFR are based on a small number of tests and should therefore be treated with caution, but the percentages for NRG1-NRG3 and ERBB4 are based on substantial numbers.
Google's policies are based on a number of factors.
The results of the study are based on a large community study with a substantial number of participants, a high response rate and few missing data.
"These numbers are based on a lot of assumptions".
However, since the estimate of each family innovation parameter is based on a small number of observations, the estimated variance would contain a substantial amount of estimation error and thus be biased upward.
This proposal was based on a number of studies of randomized trials in Nevada, Minnesota, Illinois and Florida showing substantial reemployment effects.
It's based on a number of websites.
The sorption properties of clays as adsorbent for the removal of diverse type of dyes from water and wastewater have been reviewed based on a substantial number of relevant published articles considering various process parameters.
The remaining, generally still substantial, error is commonly corrected using one of a number of different approaches, each of which is based on a set of assumptions.
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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