Causal Inference and Assessment of Risk in the Health Sciences
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This chapter presents fundamental concepts related to risk assessment and causal inference in the health sciences. It discusses the processes involved in the identification of risk and causative factors for diseases based on the counterfactual framework and contemporary sufficient component cause models. It provides definitions of commonly used terms, and exemplifies their use. It demonstrates why causal inference is made at the population rather than the individual level, and discusses its relevance to personalized medicine and future epidemiological research.
- 3.Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 3rd ed. Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008.Google Scholar
- 4.Hempel S. The strange case of the Broad Street pump : John Snow and the mystery of cholera. Berkeley: University of California Press; 2007.Google Scholar
- 9.McNeil JJ, Wolfe R, Woods RL, Tonkin AM, Donnan GA, Nelson MR, Reid CM, Lockery JE, Kirpach B, Storey E, Shah RC, Williamson JD, Margolis KL, Ernst ME, Abhayaratna WP, Stocks N, Fitzgerald SM, Orchard SG, Trevaks RE, Beilin LJ, Johnston CI, Ryan J, Radziszewska B, Jelinek M, Malik M, Eaton CB, Brauer D, Cloud G, Wood EM, Mahady SE, Satterfield S, Grimm R, Murray AM, Group AI. Effect of aspirin on cardiovascular events and bleeding in the healthy elderly. N Engl J Med. 2018;379:1509–18.CrossRefGoogle Scholar
- 10.Pearl J, Mackenzie D. The book of why : the new science of cause and effect. 1st ed. New York: Basic Books; 2018.Google Scholar