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January 1, 2015Perspectives in Clinical Research238 citationsOpen Access

Common pitfalls in statistical analysis: Odds versus risk

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PRPriya RanganathanHomi Bhabha National InstituteRARakesh AggarwalSanjay Gandhi Post Graduate Institute of Medical SciencesCPC.S. PrameshBrighton and Sussex Medical School

Key Points

  • The aim is to clarify the concepts of odds and risk, and how they are used in statistical analysis in biomedical research.
  • Descriptive analysis of odds and risk in biomedical studies
  • Comparison of their meanings and applications in association measures
  • Discussion of common misunderstandings and pitfalls in their use
  • Clarified definitions of odds and risk
  • Identified key differences between odds and risk in analyses
  • Highlighted common pitfalls that can lead to misinterpretation in studies

Abstract

In biomedical research, we are often interested in quantifying the relationship between an exposure and an outcome. "Odds" and "Risk" are the most common terms which are used as measures of association between variables. In this article, which is the fourth in the series of common pitfalls in statistical analysis, we explain the meaning of risk and odds and the difference between the two.

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Cite This Study

Ranganathan et al. (2015) studied this question.

synapsesocial.com/papers/69d76e77b843b2be9948fb9chttps://doi.org/10.4103/2229-3485.167092
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