Article thumbnail
Location of Repository

Regression to the mean: what it is and how to deal with it

By Adrian Barnett, Jolieke van der Pols and Annette Dobson

Abstract

*This article is free to read on the publisher's website* Background Regression to the mean (RTM) is a statistical phenomenon that can make natural variation in repeated data look like real change. It happens when unusually large or small measurements tend to be followed by measurements that are closer to the mean. Methods We give some examples of the phenomenon, and discuss methods to overcome it at the design and analysis stages of a study. Results The effect of RTM in a sample becomes more noticeable with increasing measurement error and when follow-up measurements are only examined on a sub-sample selected using a baseline value. Conclusions RTM is a ubiquitous phenomenon in repeated data and should always be considered as a possible cause of an observed change. Its effect can be alleviated through better study design and use of suitable statistical methods

Topics: 010400 STATISTICS, 111700 PUBLIC HEALTH AND HEALTH SERVICES
Publisher: Oxford University Press
Year: 2005
DOI identifier: 10.1093/ije/dyh299
OAI identifier: oai:eprints.qut.edu.au:45274
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • https://eprints.qut.edu.au/452... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.