This site is intended for healthcare professionals

Go to /sign-in page

You can view 5 more pages before signing in

Meta-analysis

Last reviewed dd mmm yyyy. Last edited dd mmm yyyy

Authoring team

This has proved a very useful technique, especially in areas where a large amount of data has been collected apparently with an inconclusive result. Published literature is surveyed and results from all well conducted trials (blinded, adequate clinical details, clear drop-out criteria etc.) are pooled and the data re-analysed.

Because it is usually only positive results which are published there is a tendency for type I errors to be included (wrongly rejecting the known hypothesis - assuming a difference where none exists). It may be useful therefore to include data which is equally soundly based but has not been published. Such data may be subject to type II errors (wrongly accepting the null hypothesis - assuming no difference when actually there is a difference). These errors generally arise because the number of subjects is to small, but combining them in a meta analysis reveals the correct outcome.


Related pages

Create an account to add page annotations

Annotations allow you to add information to this page that would be handy to have on hand during a consultation. E.g. a website or number. This information will always show 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.