Skip to main content Accessibility help
×
Hostname: page-component-84b7d79bbc-g78kv Total loading time: 0 Render date: 2024-08-05T06:18:58.711Z Has data issue: false hasContentIssue false

10 - Special topics

Published online by Cambridge University Press:  05 August 2012

Mitchell Katz
Affiliation:
University of California, San Francisco
Get access

Summary

What is the difference between the relative risk and the absolute risk?

Relative risks (risk ratios and rate ratios (RR)) identify the risk factors for particular outcomes. However, they cannot tell you how likely an outcome is to occur, only how much more likely the outcome is to occur in one group than the other. Therefore, knowing the relative risk is not very helpful in clinical situations. In contrast, an absolute risk tells you how likely an outcome is to occur.

The difference between the relative risk and absolute risk is particularly great with rare diseases because a person at high relative risk of developing a disease (compared to an unexposed person) may still be very unlikely to develop that disease. For example, the relative risk of developing esophageal cancer is 40–125 higher among persons with Barrett esophagus. For persons newly diagnosed with Barrett esophagus this must sound like a certainty that they will develop cancer. In fact, the absolute risk of developing cancer if you have Barrett esophagus has been estimated at 0.5% per year (one in two hundred). Despite the high relative risk, the absolute risk is low because esophageal cancer is a rare disease.

What other effect measures are available in addition to relative risk and absolute risk?

In addition to relative risk and absolute risk, several related effect measures are available. Each one characterizes the association between a risk factor and an outcome differently. The different measures, along with their meaning, and their uses, are shown in Table 10.1.

Type
Chapter
Information
Study Design and Statistical Analysis
A Practical Guide for Clinicians
, pp. 165 - 171
Publisher: Cambridge University Press
Print publication year: 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Special topics
  • Mitchell Katz, University of California, San Francisco
  • Book: Study Design and Statistical Analysis
  • Online publication: 05 August 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511616761.011
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Special topics
  • Mitchell Katz, University of California, San Francisco
  • Book: Study Design and Statistical Analysis
  • Online publication: 05 August 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511616761.011
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Special topics
  • Mitchell Katz, University of California, San Francisco
  • Book: Study Design and Statistical Analysis
  • Online publication: 05 August 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511616761.011
Available formats
×