This site is intended for healthcare professionals

Go to /sign-in page

You can view 5 more pages before signing in


Last reviewed dd mmm yyyy. Last edited dd mmm yyyy

Authoring team

Numbers in trials are reflected in the null hypothesis and the relative chances of type 1 and type 2 errors.

Type 2 error comes into its own in comparitor trials, eg antidepressant A versus antidepressant B, where the latter is the old treatment. The null hypothesis states that there is no difference. If A seems better, test for type 1 error. If they appear to be equal, test for type 2 error, since there may be a need to increase trial power by increasing the numbers of people in the trial.

Related pages

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.


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.