Outliers in Replicated Crossover Study [Outliers]

posted by DavidManteigas – Portugal, 2016-07-12 18:55 (2900 d 02:49 ago) – Posting: # 16484
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What is the point of detecting outliers in a bioequivalence study anyway? Unless they're really extreme values (possibly indicating an error) you should never remove them from your analysis. The only point of detecting outliers in replicate designs is to assess if the CV obtained is not due to an outlier instead of real variation in data. Or in a pilot study, to assess the robustness of your estimated CV, for instance.

Outliers do exist and they're expected 5% of the times :)

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