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dc.contributor.authorPoellinger, Roland
dc.date.accessioned2021-08-06T08:56:11Z
dc.date.available2021-08-06T08:56:11Z
dc.date.issued2020
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/50322
dc.description.abstractAnalogical arguments are ubiquitous vehicles of knowledge transfer in science and medicine. This paper outlines a Bayesian evidence-amalgamation framework for the purpose of formally exploring different analogy-based inference patterns with respect to their justification in pharmacological risk assessment. By relating formal explications of similarity, analogy, and analog simulation, three sources of confirmatory support for a causal hypothesis are distinguished in reconstruction: relevant studies, established causal knowledge, and computational models.en_US
dc.languageEnglishen_US
dc.subject.classificationthema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacologyen_US
dc.subject.otherscientific inference, pharmacology, epistemology, Bayesian confirmation, evidence, relevance, similarity, analogy, computer simulationen_US
dc.titleChapter Analogy-Based Inference Patterns in Pharmacological Researchen_US
dc.typechapter
oapen.identifier.doi10.1007/978-3-030-29179-2_5en_US
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5en_US
oapen.relation.isPartOfBook6dde7ba1-8654-4ccc-9249-6bef6c837290en_US
oapen.relation.isFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079en_US
oapen.relation.isbn9783030291785en_US
oapen.collectionEuropean Research Council (ERC)en_US
oapen.pages33en_US
oapen.grant.number639276
oapen.grant.projectPhilPharm


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