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Stat Med. 2021 Mar 30;40(7):1859-1860. doi: 10.1002/sim.8874.

Clinical prediction models to predict the risk of multiple binary outcomes: Methodological issues.

Statistics in medicine

Siamak Sabour, Hadis Ghajari

Affiliations

  1. Department of Clinical Epidemiology, School of Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, IR, Iran.
  2. Safety Promotions and Injury Prevention Research Centre, Shahid Beheshti University of Medical Sciences, Tehran, IR, Iran.

PMID: 33687095 DOI: 10.1002/sim.8874

[No abstract available.]

Keywords: multiple binary outcome; prediction model; risk

References

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  2. Norton EC, Dowd BE, Maciejewski ML. Marginal effects-quantifying the effect of changes in risk factors in logistic regression models. JAMA. 2019;321(13):1304-1305. - PubMed
  3. Grobbee DE, Hoes AW. Clinical Epidemiology: Principles, Methods, and Applications for Clinical Research. Burlington, MA: Jones & Bartlett Publishers; 2014. - PubMed
  4. Steyerberg EW. Clinical Prediction Models. New York, NY: Springer; 2019. - PubMed
  5. Debray TP, Vergouwe Y, Koffijberg H, Nieboer D, Steyerberg EW, Moons KG. A new framework to enhance the interpretation of external validation studies of clinical prediction models. J Clin Epidemiol. 2015;68(3):279-289. - PubMed
  6. Altman DG, Vergouwe Y, Royston P, Moons KG. Prognosis and prognostic research: validating a prognostic model. BMJ. 2009;338:b605. - PubMed

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