The discipline of forensic epidemiology (FE) is a hybrid of principles and practices common to both forensic medicine and epidemiology. FE is directed at filling the gap between clinical judgment and epidemiologic data for determinations of causality in civil lawsuits and criminal prosecution and defense.[1][2][3][4]
Forensic epidemiologists formulate evidence-based probabilistic conclusions about the type and quantity of causal association between an antecedent harmful exposure and an injury or disease outcome in both populations and individuals. The conclusions resulting from an FE analysis can support legal decision-making regarding guilt or innocence in criminal actions, and provide an evidentiary support for findings of causal association in civil actions.
Applications of forensic epidemiologic principles are found in a wide variety of types of civil litigation, including cases of medical negligence, toxic or mass tort, pharmaceutical adverse events, medical device and consumer product failures, traffic crash-related injury and death, person identification and life expectancy.
^Freeman, Michael; Zeegers, Maurice (2016-05-18). Forensic Epidemiology: Principles and Practices. Elsevier. ISBN 9780124045842.
^Koehler, Steven A.; Freeman, Michael D. (2014-06-01). "Forensic epidemiology: a method for investigating and quantifying specific causation". Forensic Science, Medicine, and Pathology. 10 (2): 217–222. doi:10.1007/s12024-013-9513-8. ISSN 1556-2891. PMID 24272789. S2CID 11751460.
^Freeman, Michael D.; Rossignol, Annette M.; Hand, Michael L. (2009-02-01). "Applied forensic epidemiology: the Bayesian evaluation of forensic evidence in vehicular homicide investigation". Journal of Forensic and Legal Medicine. 16 (2): 83–92. doi:10.1016/j.jflm.2008.08.017. ISSN 1752-928X. PMID 19135003.
^Freeman, Michael D.; Rossignol, Annette M.; Hand, Michael L. (2008-07-01). "Forensic Epidemiology: a systematic approach to probabilistic determinations in disputed matters". Journal of Forensic and Legal Medicine. 15 (5): 281–290. doi:10.1016/j.jflm.2007.12.009. ISSN 1752-928X. PMID 18511002.
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