What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes.

@article{Zhang1998WhatsTR,
  title={What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes.},
  author={Jun Zhang and Kai F. Yu},
  journal={JAMA},
  year={1998},
  volume={280 19},
  pages={
          1690-1
        }
}
Logistic regression is used frequently in cohort studies and clinical trials. When the incidence of an outcome of interest is common in the study population (>10%), the adjusted odds ratio derived from the logistic regression can no longer approximate the risk ratio. The more frequent the outcome, the more the odds ratio overestimates the risk ratio when it is more than 1 or underestimates it when it is less than 1. We propose a simple method to approximate a risk ratio from the adjusted odds… CONTINUE READING

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 1,403 CITATIONS, ESTIMATED 46% COVERAGE

Vitamin B2 intake reduces the risk for colorectal cancer: a dose–response analysis

  • European Journal of Nutrition
  • 2018
VIEW 13 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Risk ratios and odds ratios for common events in cross-sectional and cohort studies.

  • Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
  • 2010
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Assessment of risks by predicting counterfactuals.

  • Statistics in medicine
  • 2009
VIEW 5 EXCERPTS
CITES METHODS & RESULTS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

1999
2019

CITATION STATISTICS

  • 73 Highly Influenced Citations

  • Averaged 78 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-6 OF 6 REFERENCES

Predictingdeathfrominitialdiseaseseverity invery low birthweight infants: a method for comparing the performance of neonatal units

W Tarnow-Mordi, S Ogston, AR Wilkinson
  • BMJ
  • 1990

Applied logistic regression

A. J. Scott, D. W. Hosmer, S. Lemeshow
  • 1989