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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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Correction Notice

Scott Knoer, Erin R Fox

    American Journal of Health-System Pharmacy : AJHP : Official Journal of the American Society of Health-System Pharmacists
    |March 20, 2020
    PubMed
    Summary

    No abstract available in PubMed .

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