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        Chapter 15 Epistemic Gains and Epistemic Games

        Reliability and Higher Order Evidence in Medicine and Pharmacology

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        Author(s)
        Osimani, Barbara
        Collection
        European Research Council (ERC); EU collection
        Language
        English
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        Abstract
        In this paper I analyse the dissent around evidence standards in medicine and pharmacology as a result of distinct ways to address epistemic losses in our game with nature and the scientific ecosystem: an “elitist” and a “pluralist” approach. The former is focused on reliability as minimisation of random and systematic error, and is grounded on a categorical approach to causal assessment, whereas the latter is more focused on the high context-sensitivity of causation in medicine and in the soft sciences in general, and favours probabilistic approaches to scientific inference, as better equipped for defeasibility of causal inference in such domains. I then present a system for probabilistic causal assessment from heterogenous evidence that makes justice of concerns from both positions, while also incorporating “higher order evidence” (evidence/information about the evidence itself) in hypothesis confirmation.
        Book
        Uncertainty in Pharmacology
        URI
        https://library.oapen.org/handle/20.500.12657/50312
        Keywords
        Uncertainty Management in Pharmacology, Causality,Medical Epistemology, evidence standards, random error, systematic error, extrapolation, relevance, bias
        DOI
        10.1007/978-3-030-29179-2_15
        ISBN
        9783030291792, 9783030291785
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        2020
        Grantor
        • H2020 European Research Council - 639276 - PhilPharm Research grant informationFind all documents
        Classification
        Pharmacology
        Pages
        28
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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