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The phrase "accuracy of conclusion" is correct and usable in written English.
It can be used when discussing the precision or correctness of a conclusion drawn from data or analysis.
Example: "The accuracy of conclusion is crucial in scientific research to ensure valid results."
Alternatives: "correctness of conclusion" or "precision of conclusion".
Exact(1)
Further work should be conducted to evaluate distinguishing characteristics among OCT images of different polyp tissues, such as hamartomatous, hyperplastic, adenomatous, and inflammatory tissues and the sample size should be extended to ensure the accuracy of conclusion.
Similar(59)
Statistical methods and adverse events (that is, harms) data affect the accuracy of conclusions about the risk-to-benefit ratio of treatments for temporomandibular disorders (TMDs).
Finally, Section 5 gives some examples to show the accuracy of conclusions of Theorem 1.5.
The explicit methods used in systematic reviews limit bias and, hopefully, will improve reliability and accuracy of conclusions [29].
Internal validity concerns issues of causality and the accuracy of conclusions drawn regarding whether statistical relationships found between variables imply cause (Cook & Campbell, 1976).
The accuracy of conclusions drawn by the authors was not verified.
Thus, flexible analyses enhanced both the validity and the accuracy of conclusions regarding prognostic value of albumin.
Third, the use of an appropriate molecular-clock calibration greatly influences the accuracy of conclusions from coalescence analysis (Ho et al. 2011).
They have shown that incorporating physiological context into the model increased the accuracy of conclusions about the drug dose required to achieve pathway inhibition.
Efficacy studies focus on the internal validity of results and therefore accuracy of conclusions--however, their practical use is limited due to potential lack in the generalisability of their results.
This information can help identify human health risks associated with environmental exposures, but the accuracy of conclusions hinges on the correct interpretation of the data.,, A new study in EHP highlights a potential source of bias in estimating exposures on the basis of urine samples and suggests a possible means to control for it.
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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