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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Die OCT bei Hornhautdystrophien,umption of food contaminated with disease-causing bacteria and antibiotic-resistant “superbugs” sparks strong political passions, dramatic media headlines, and heated science-policy debates (Chang et al. 2014). A widespread concern is that use of animal antibiotics on farms creates selection pressur

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,Entzündliche Hornhauterkrankungen,lytics to assess the size of the human health risks from a particular source. It continues the theme begun in Chap. . of examining human health risks from antibiotic-resistant infectious bacteria, but focuses specifically on long-standing concerns expressed by the public health community, news media

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https://doi.org/10.1007/978-3-662-63374-8l intelligence, machine-learning and bioinformatics has been to predict . biological responses to realistic exposures, with demonstrably useful accuracy and confidence, from . and chemical structure data. The common goal of many applied research efforts has been to devise and validate algorithms tha

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Eine Zimmerreise in Zeiten von Coronavalidate than other forms of causal analysis, including predictive and attributive causal modeling. Substantial applied and computational mathematical research, modeling, and algorithm development is sometimes needed to describe with useful accuracy how a system evolves over time. On the other hand,

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Organisationsdesign 4.0 von A-Z.hods 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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Einleitender Teil der Beschreibung,bout 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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