Titlebook: Causal Analytics for Applied Risk Analysis; Louis Anthony Cox Jr.,Douglas A. Popken,Richard X. Book 2018 Springer International Publishing

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Evaluation Analytics for Occupational Health: How Well Do Laboratories Assess Workplace Concentratiohods such as modern predictive and causal analytics algorithms to previously collected observational data (Chap. .) whether published claims are reproducible and whether predicted effects caused by changes in exposures have actually occurred. This chapter provides an example of evaluation analytics

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Improving Risk Management: From Lame Excuses to Principled Practicebout it, to whom, when and how?). Chapter . proposed two complements to these: . (who or what addressable conditions actually caused an accident or loss?) and . about risk reduction (what works, how well, and how sure can we be?) Failures in complex systems usually evoke blame, often with insufficie

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0884-8289 ns with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit 978-3-030-08653-4978-3-319-78242-3Series ISSN 0884-8289 Series E-ISSN 2214-7934

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,Entzündliche Hornhauterkrankungen,s, farm workers, and hospital patients. This chapter integrates available data from several sources to construct a conservative (plausible upper-bound) probability estimate for the quantitative human health harm (MRSA infections and fatalities) arising from ST398-MRSA from pigs. The estimated plausi

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https://doi.org/10.1007/978-3-662-63374-8e in its predecessor, many of the factors in this chapter are estimated .. These describe the fraction of relevant deaths or illnesses per year in the population due to (i.e., attributed to) and caused by infection with a foodborne pathogen; the fraction of them that are attributed specifically to p