Journal of Clinical Epidemiology
Volume 63, Issue 1 , Pages 2-6 , January 2010

Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regression model

  • Peter C. Austin

      Affiliations

    • Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
    • Dalla Lana School of Public Health Sciences, University of Toronto, Toronto, Ontario, Canada
    • Department of Health Management, Policy and Evaluation, University of Toronto, Toronto, Ontario, Canada
    • Corresponding Author InformationCorresponding author. Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada. Tel.: +416-480-6131; fax: +416-480-6048.

,Accepted 8 November 2008.

References 

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  13. Austin PC, Tu JV. Comparing clinical data with administrative data for producing AMI report cards. J R Stat Soc Ser A. 2006;169:115–126
  14. Austin PC. A comparison of classification and regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality. Stat Med. 2007;26:2937–2957
  15. Zhang J, Yu KF. What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes. JAMA. 1998;280:1690–1691
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  21. Austin PC. The performance of different propensity score methods for estimating relative risks. J Clin Epidemiol. 2008;61:537–545
  22. Austin PC. A critical appraisal of propensity score matching in the medical literature from 1996 to 2003. Stat Med. 2008;27:2037–2049
  23. Austin PC. Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement. J Thorac Cardiovasc Surg. 2007;134:1128–1135

PII: S0895-4356(08)00316-8

doi: 10.1016/j.jclinepi.2008.11.004

Journal of Clinical Epidemiology
Volume 63, Issue 1 , Pages 2-6 , January 2010

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