Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

The estimation approach to statistical analysis aims to quantify the effect of interest as an "estimate" of a clinically relevant quantity and to quantify the uncertainty in this estimate by means of a confidence interval (CI). As such, results expressed in this form are much more informative than results presented just as p values. This article focuses on the principles rather than the mathematics of CIs and discusses interpretation of CIs and some common misuses. CIs can be constructed for almost all analyses. They are especially useful for avoiding misinterpretation of nonsignificant results of small studies. CIs should be provided routinely for the main results of trials and observational studies.

Original publication

DOI

10.1007/s00268-005-7911-0

Type

Journal article

Journal

World J Surg

Publication Date

05/2005

Volume

29

Pages

554 - 556

Keywords

Confidence Intervals, Humans, Randomized Controlled Trials as Topic