Relative risks and odds ratios: Simple rules on when and how to use them
Corresponding Author
Dean P. McKenzie
Epworth HealthCare, Melbourne, Australia
Department of Statistics, Data Science and Epidemiology, Swinburne University of Technology, Melbourne, Australia
Correspondence
Dean McKenzie, Epworth HealthCare, Melbourne, Australia.
Email: [email protected]
Search for more papers by this authorCorresponding Author
Dean P. McKenzie
Epworth HealthCare, Melbourne, Australia
Department of Statistics, Data Science and Epidemiology, Swinburne University of Technology, Melbourne, Australia
Correspondence
Dean McKenzie, Epworth HealthCare, Melbourne, Australia.
Email: [email protected]
Search for more papers by this authorAbstract
Aim
Relative risks and odds ratios are widely reported in the medical literature, but can be very difficult to understand. We sought to further clarify these important indices.
Methods
We illustrated both relative risks and odds ratios using bar charts, then looked at the types of study for which each statistic is suited. We demonstrated calculation of relative risks and odds ratios through analysis of tabled data from a recent published longitudinal study, using a 2 × 2 table and R, the open-source statistical programming language. Simple rules for when and how to use relative risks and odds ratios are presented.
Conclusion
Understanding the difference between relative risks and odds ratios and when and how to use them may aid clinical interpretation, dissemination and translation of research findings.
CONFLICT OF INTEREST
None.
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