# Absolute risk reduction

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In clinical epidemiology and evidence-based medicine, the absolute risk reduction is a measure that compares the frequency of a clinical outcome in group of patients exposed to a factor compared to a control group of patients.^{[1]} This measure should be contrasted with the relative risk reduction.

Most scientific journal articles fail to report absolute measures which may lead to exaggerated perceptions of results.^{[2]}

## Calculations

Outcome | ||||
---|---|---|---|---|

Present | Absent | |||

Experimental group | Cell A | Cell B | Total in the experimental group | |

Control group | Cell C | Cell D | Total in the control group | |

Total with the outcome | Total without the outcome |

### Confidence intervals

The confidence intervals can be calculated using the method of Daly:^{[3]}

## References

- ↑ Barratt A, Wyer PC, Hatala R,
*et al*(2004). "Tips for learners of evidence-based medicine: 1. Relative risk reduction, absolute risk reduction and number needed to treat".*CMAJ***171**(4): 353–8. DOI:10.1503/cmaj.1021197. PMID 15313996. Research Blogging. - ↑ Welch HG et al.Ratio measures in leading medical journals: structured review of accessibility of underlying absolute risks.BMJ. 2006 Dec 16;333(7581):1248. Epub 2006 Oct 23. PMID 17060338
- ↑ Daly LE (1998). "Confidence limits made easy: interval estimation using a substitution method.".
*Am J Epidemiol***147**(8): 783-90. PMID 9554420.