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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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How Well Can High-Throughput Screening Tests Results Predict Whether Chemicals Cause Cancer in Mice tions in Chaps. . and ., it also undertakes an independent reanalysis of the underlying data to determine how well this encouraging claim can be replicated and supported when the same data are analyzed using slightly different methods.
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Mechanistic Causality: Biological Mechanisms of Dose-Response Thresholds for Inflammation-Mediated Dviors occur frequently in biological regulatory networks and in other (e.g., socioeconomic) systems with positive feedback loops. This chapter considers the implications of recent advances in molecular biological understanding of the causal mechanisms of inflammation-mediated diseases for quantitati
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Evaluation Analytics for Public Health: Has Reducing Air Pollution Reduced Death Rates in the United practices too often lead to false-positive findings and to mistaken attributions of causality to mere statistical associations (Lehrer 2012; Sarewitz 2012; Ottenbacher 1998; Imberger et al. 2011). Formal training in epidemiology may be a mixed blessing in addressing these concerns. As discussed in
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Evaluation Analytics for Occupational Health: How Well Do Laboratories Assess Workplace Concentratiobe clear: concentrations of RCS in airlead to concentrations on air filters sent to laboratories. However, as we shall see, there is enough unexplained noise or random variation in the process so that even control samples with no RCS are sometimes mistakenly identified as carrying significant positi
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Book 2018commend choices that are more likely to accomplish their intended objectives.The book begins 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
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Operation Preparation in Bariatric Surgery,ses basic descriptive information: how big is a risk now, how is it changing over time or with age, how does it differ for people or situations with different characteristics, on what factors does it depend, with what other risks or characteristics does it cluster? Such questions arise not only for
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J. Ordemann,U. Elbelt,T. Hofmannnces—for example, whether they are swiftly detoxified and eliminated from the body without doing harm, or whether they are metabolized to form toxic concentrations of metabolites in target tissues. Descriptive analytics applied to data on inhaled concentrations and metabolites formed can be used to
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