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Graphical comparisons of relative disease burden across multiple risk factors.

John FergusonNeil O'LearyFabrizio MaturoSalim YusufMartin O'Donnell
Published in: BMC medical research methodology (2019)
The described methods could be used as a complement to tables summarizing prevalence, odds ratios and PAF, and may convey the same information in a more intuitive and visually appealing manner. The suggested nomogram can also be used to visually estimate the effects of health interventions which only partially reduce risk factor prevalence. Finally, in the binary risk factor case, the approximations can also be used to quickly convert logistic regression coefficients for a risk factor into approximate PAFs.
Keyphrases
  • risk factors
  • healthcare
  • public health
  • health information
  • mental health
  • physical activity
  • squamous cell carcinoma
  • lymph node metastasis
  • climate change