Once identified, the handling of outliers in toxicology involves several considerations:
Verification: Double-check the data to rule out errors in measurement or recording. Understanding the Cause: Determine whether the outliers are due to natural variability or errors. Transformation: Applying transformations, such as log transformation, can sometimes normalize the data. Robust Statistical Methods: Use methods less sensitive to outliers, such as median-based analyses. Exclusion: In some cases, it may be justifiable to exclude outliers, but this should be done cautiously and documented thoroughly.
