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    • If the disease condition (event) is rare

      • If the disease condition (event) is rare, then the odds ratio and relative risk may be comparable, but the odds ratio will overestimate the risk if the disease is more common. In such cases, the odds ratio should be avoided, and the relative risk will be a more accurate estimation of risk.
      www.ncbi.nlm.nih.gov/books/NBK431098/
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  2. Oct 27, 2011 · Altman, Deeks and Sackett1 claim that the odds ratio should be avoided except when events are rare because the odds ratio becomes unreliable as an approximation to the relative risk when events are common. The correct advice, however, is the opposite of what they give. The odds ratio and not the relative risk is the gold standard. The

  3. Nov 11, 1998 · The odds ratio should not be interpreted as an approximate relative risk unless the events are rare in both groups (say, less than 20-30%). The odds ratio remains especially useful when researchers need to adjust for other variables, for which logistic regression is the usual approach.

    • Douglas G Altman, Jonathon J Deeks, David L Sackett
    • 1998
  4. If the 95% CI for an odds ratio does not include 1.0, then the odds ratio is considered to be statistically significant at the 5% level. What Are the Limitations of Odds Ratios? Several caveats must be considered when reporting results with odds ratios.

    • Edward C. Norton, Bryan E. Dowd, Matthew L. Maciejewski
    • 2018
  5. May 22, 2023 · In such cases, the odds ratio should be avoided, and the relative risk will be a more accurate estimation of risk. [3] Commonly, odds ratios will be reported in case-control studies, in which relative risks cannot be calculated.

    • Steven Tenny, Mary R. Hoffman
    • 2023/05/22
    • University of Nebraska Medical Center
  6. Nov 21, 1998 · Several errors occurred in this letter by Douglas G Altman et al (7 November, p 1318). The last sentence should end “surely it makes sense also to report the relative risk when this differs markedly from the odds ratio” (not “surely it makes no sense …” as printed).

  7. However, when the outcome is common, odds ratios should not be interpreted as risk ratios because doing so can greatly exaggerate the size of an effect. This column explains what odds ratios are, how to correctly interpret them, and how to avoid being misled by them.

  8. Several caveats must be considered when reporting results with When the probability is small, odds are virtually identical to the odds ratios. First, the interpretation of odds ratios is framed in probability. For example, for a probability of 0.05, the odds are terms of odds, not in terms of probabilities.

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