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dc.contributor.authorPoellinger, Roland
dc.date.accessioned2025-03-08T03:04:46Z
dc.date.available2025-03-08T03:04:46Z
dc.date.issued2020
dc.date.submitted2021-08-06T08:56:11Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/50322
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/176783
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.
dc.languageEnglish
dc.rightsopen access
dc.subject.otherscientific inference, pharmacology, epistemology, Bayesian confirmation, evidence, relevance, similarity, analogy, computer simulation
dc.subject.otherthema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology
dc.titleChapter Analogy-Based Inference Patterns in Pharmacological Research
dc.typechapter
oapen.identifier.doi10.1007/978-3-030-29179-2_5
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.relation.isPartOfBook36980a1a-7a98-4105-ad88-f14944a0f55f
oapen.relation.isFundedBy3f0a4da2-418f-411a-ae5f-8d27e0601aec
oapen.relation.isFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079
oapen.relation.isbn9783030291785
oapen.collectionEuropean Research Council (ERC)
oapen.pages33
oapen.grant.number639276
dc.relationisFundedBy178e65b9-dd53-4922-b85c-0aaa74fce079
dc.grantprojectPhilPharm


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