This site is intended for healthcare professionals

Go to /sign-in page

You can view 5 more pages before signing in

Type 2 error

Last reviewed dd mmm yyyy. Last edited dd mmm yyyy

Authoring team

A type 2 error is an error resulting from wrongly accepting Ho - the null hypothesis - when it is in fact false (i.e. a false negative result).

  • the power of a study can be calculated via knowledge of the type 2 error (1)
    • power (the chance that the study will detect the minimum difference as statistically different) = 1 - type 2 error

The power of a study of a clinical trial (1 - probability of a type 2 error) simultaneously reflects the number of people in the trial and the amount of actual change in a particular subgroup.

  • rate of the type II error is denoted by the Greek letter ß (beta) and related to the power of a test (which equals 1-ß)

 

Reference:

  1. Evidence Based Medicine 2006;11:69-70.

Create an account to add page annotations

Add information to this page that would be handy to have on hand during a consultation, such as a web address or phone number. This information will always be displayed when you visit this page

The content herein is provided for informational purposes and does not replace the need to apply professional clinical judgement when diagnosing or treating any medical condition. A licensed medical practitioner should be consulted for diagnosis and treatment of any and all medical conditions.

Connect

Copyright 2024 Oxbridge Solutions Limited, a subsidiary of OmniaMed Communications Limited. All rights reserved. Any distribution or duplication of the information contained herein is strictly prohibited. Oxbridge Solutions receives funding from advertising but maintains editorial independence.