The phrase "avoided the misclassification of" is correct and usable in written English.
It can be used when discussing efforts to prevent errors in categorizing or classifying something, often in a technical or analytical context.
Example: "The researchers implemented a new algorithm that successfully avoided the misclassification of data points in their study."
Alternatives: "prevented the mislabeling of" or "eliminated the classification errors of".
This study population was constructed specifically to avoid the misclassification of exposure caused by well switching.
We agree that additional proven cases are needed to avoid the misclassification of some patients with IBPA.
This may avoid the misclassification of these high risk patients if semiquantitative culture of bronchoalveolar lavage was not positive [ 13], a criterion not universally accepted.
In this study, we obtained MICs for K. pneumoniae isolates by broth microdilution, thus avoiding the misclassification of some case patients as potential control subjects.
In the current study, isolates reported as being non-susceptible to tigecycline by the Vitek2 system were confirmed with the E-test method to avoid the misclassification of the results.
As SCr is affected by several factors including age, sex, race, and body size, estimation of GFR using prediction equations is recommended to avoid the misclassification of individuals on the basis of SCr alone [ 14, 15].
Also, this representation avoids the misclassifications of sudden energy ripples (i.e., noise frame with a higher energy than its neighbor noise frames, or speech frame with a lower energy than its neighbor speech frames).
Both mortality and incidence analyses were limited to person-years and events occurring before 80 years of age in order to avoid the possible misclassification of cause of death or diagnosis in old age.
The requirement for two consecutive examinations with obesity was to avoid the potential misclassification of body weight, either due to measurement error or fluctuations between the borderline of the 'overweight' category or the 'obese' category.
The continuous outcome (PP) calculated from the ELISA will have had some random error, but avoided the need to categorise cattle as positive or negative to BHV-1 antibody, and avoided the possibility of misclassification due imperfect sensitivity and specificity, although would have retained a bias if serological measurement varied with other variables.
