Common pitfalls in statistical analysis: Absolute risk reduction, relative risk reduction, and number needed to treat
- PMID: 26952180
- PMCID: PMC4763519
- DOI: 10.4103/2229-3485.173773
Common pitfalls in statistical analysis: Absolute risk reduction, relative risk reduction, and number needed to treat
Abstract
In the previous article in this series on common pitfalls in statistical analysis, we looked at the difference between risk and odds. Risk, which refers to the probability of occurrence of an event or outcome, can be defined in absolute or relative terms. Understanding what these measures represent is essential for the accurate interpretation of study results.
Keywords: Biostatistics; numbers needed to treat; risk.
References
-
- Naylor CD, Chen E, Strauss B. Measured enthusiasm: Does the method of reporting trial results alter perceptions of therapeutic effectiveness? Ann Intern Med. 1992;117:916–21. - PubMed
-
- Schulz KF, Altman DG, Moher D CONSORT Group. CONSORT 2010 statement: Updated guidelines for reporting parallel group randomized trials. Ann Intern Med. 2010;152:726–32. - PubMed
-
- Shermock KM, Horn E, Lipsett PA, Pronovost PJ, Dorman T. Number needed to treat and cost of recombinant human erythropoietin to avoid one transfusion-related adverse event in critically ill patients. Crit Care Med. 2005;33:497–503. - PubMed
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