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Discover LudwigThe phrase "analysis may be false" is correct and usable in written English.
It can be used when discussing the possibility that a given analysis or interpretation might not be accurate or could be misleading.
Example: "While the data suggests a clear trend, we must acknowledge that the analysis may be false due to potential biases in the sample."
Alternatives: "the analysis could be incorrect" or "the analysis might not be accurate."
Exact(1)
Some of the results from the cofactor analysis may be false positives and require further validation.
Similar(59)
One issue with biomarker discovery is that even with the sophisticated software and analyzers available, if the samples have been affected by a factor not being tested for (a common drug in a disease state, or a different handling prior to analysis) there may be "false discoveries" not on the basis of disease, but by process.
3 6 9 11 Returning to the myths, we see from table 1 that biased estimates can result from equal dropout, particularly if complete case analysis is used, suggesting that myth 1 may be false.
Some of the missed interactions may be false positives, and thus at this front our analysis would serve to purge such data from the genetic interaction maps.
But this may be false optimism.
Such modesty may be false.
They are experimental and may be false or foolish.
"If A, B" may be false when A is false.
But the converse may be false.
For "A → B" may be false when A&~B is false.
But, the converse may be false [18, Example 1].
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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