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The phrase "adjusting for errors" is correct and usable in written English.
It can be used in contexts where one is accounting for inaccuracies or discrepancies in data or calculations.
Example: "When analyzing the results, we must ensure that we are adjusting for errors to obtain accurate conclusions."
Alternatives: "correcting for inaccuracies" or "accounting for mistakes".
Exact(1)
In the PCR-based barcoding method, 95 individuals were sequenced and typed, with a typing accuracy of 98.6% at 4-digit resolution and 99.6% at 2-digit resolution after adjusting for errors in the gold standard (Additional File 9).
Similar(59)
Tryon (2001)[ 15] provides a useful method for adjusting for error in point estimates for multiple pairwise comparisons.
Comparing monthly values with nearby stations to check for correlations can help to adjust for errors and missing values.
After applying Bonferroni correction to adjust for errors of multiple comparisons (type 1 error), no significant deviations remained.
Mean systolic and diastolic BP (two readings) were adjusted for errors in BP measurement arising from use of different cuff sizes using a previously validated method [ 19].
In each case reliable main effects and interactions were obtained, even when comparisons were adjusted for error inflation.
In case of a statistically meaningful "Hospital" effect (p < 0.05, 2-sided) concerning the outcomes, subsequent pair-wise comparisons with Bonferroni correction to adjust for error probability were provided.
By the time the Congressional investigators finished adjusting for math errors and erroneous assumptions, the project's benefits were reduced from $40 million a year to about $13.3 million.
In addition, adjusting for measurement errors did not significantly alter our observed risk estimates.
Our results highlight the importance of adjusting for measurement error across a wide range of empirical settings.
Column (c) provides estimates from the MESE model, equations (7)–(9), adjusting for measurement error in the cognitive measure.
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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