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From Glossary for Health Technology Lifecycle by EuroScan
(Created page with "In hypothesis testing, the probability of a Type II error, i.e. the probability of concluding incorrectly that a null hypothesis is true. '''Note:''' For example, β could be the probability of concluding that an intervention is not effective when it has a true effect. (1-β) is the statistical power of a test allowing for rejection of a null hypothesis that is truly false (e.g. detecting the effect of an intervention that truly exists). (Related concepts: hy...")
 
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(Related concepts: [[hypothesis testing]], [[statistical power]])
(Related concepts: [[hypothesis testing]], [[statistical power]])


[http://htaglossary.net/beta-(%CE%B2)]
== Reference ==
[http://htaglossary.net/beta-(%CE%B2) http://htaglossary.net/beta-(ß)]

Latest revision as of 11:19, 9 November 2023

In hypothesis testing, the probability of a Type II error, i.e. the probability of concluding incorrectly that a null hypothesis is true.

Note: For example, β could be the probability of concluding that an intervention is not effective when it has a true effect. (1-β) is the statistical power of a test allowing for rejection of a null hypothesis that is truly false (e.g. detecting the effect of an intervention that truly exists).

(Related concepts: hypothesis testing, statistical power)

Reference

http://htaglossary.net/beta-(ß)