Erschienen in:
01.01.2012 | In Brief
Statistics In Brief: When to Use and When Not to Use a Threshold P Value
verfasst von:
Bruno Falissard, MD, PhD
Erschienen in:
Clinical Orthopaedics and Related Research®
|
Ausgabe 1/2012
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Excerpt
Hypothesis tests are statistical tools designed to help investigators control the risk that is taken when making inferences or basing decisions on probabilistic data. Although these tools are easy to implement in practice, they are conceptually more complex than generally is assumed [
3,
5]. Statistical tests of an hypothesis can be presented according to two different theoretical frameworks: the Neyman-Pearson approach, which uses a threshold probability value, and the Fisher approach, which does not. …