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Verification of reference intervals by the C28 protocol--the alpha error/power trade-off

Kenneth Goossens1, Linde A C De Grande1, Thomas Keller2

  • 1Laboratory for Analytical Chemistry, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|May 13, 2014
PubMed
Summary

No abstract available in PubMed .

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Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
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