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Extrapolation from Animal Models

In Peter McLaughlin, Peter Machamer & Rick Grush (eds.), Theory and Method in the Neurosciences. Pittsburgh University Press. pp. 200 (2001)

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  1. Stages in the development of a model organism as a platform for mechanistic models in developmental biology: Zebrafish, 1970–2000.Robert Meunier - 2012 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 43 (2):522-531.
    Model organisms became an indispensable part of experimental systems in molecular developmental and cell biology, constructed to investigate physiological and pathological processes. They are thought to play a crucial role for the elucidation of gene function, complementing the sequencing of the genomes of humans and other organisms. Accordingly, historians and philosophers paid considerable attention to various issues concerning this aspect of experimental biology. With respect to the representational features of model organisms, that is, their status as models, the main focus (...)
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  • The ‘Big Picture’: The Problem of Extrapolation in Basic Research.Tudor M. Baetu - 2016 - British Journal for the Philosophy of Science 67 (4):941-964.
    Both clinical research and basic science rely on the epistemic practice of extrapolation from surrogate models, to the point that explanatory accounts presented in review papers and biology textbooks are in fact composite pictures reconstituted from data gathered in a variety of distinct experimental setups. This raises two new challenges to previously proposed mechanistic-similarity solutions to the problem of extrapolation: one pertaining to the absence of mechanistic knowledge in the early stages of research and the second to the large number (...)
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  • Experimentation in Cognitive Neuroscience and Cognitive Neurobiology.Jacqueline Anne Sullivan - 2014 - In Levy Neil & Clausen Jens (eds.), Handbook on Neuroethics. Springer.
    Neuroscience is a laboratory-based science that spans multiple levels of analysis from molecular genetics to behavior. At every level of analysis experiments are designed in order to answer empirical questions about phenomena of interest. Understanding the nature and structure of experimentation in neuroscience is fundamental for assessing the quality of the evidence produced by such experiments and the kinds of claims that are warranted by the data. This article provides a general conceptual framework for thinking about evidence and experimentation in (...)
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  • Extrapolation, Analogy, and Comparative Process Tracing.Francesco Guala - 2010 - Philosophy of Science 77 (5):1070-1082.
    Comparative process tracing is the best analysis of extrapolation inferences in the philosophical and scientific literature so far. In this essay I examine some similarities and differences between comparative process tracing and former attempts to capture the logic of extrapolation, such as the analogical approach. I show that these accounts are not different in spirit, although comparative process tracing supersedes previous proposals in terms of analytical detail. I also examine some qualms about the possibility of drawing extrapolation inferences in the (...)
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  • From humanized mice to human disease: guiding extrapolation from model to target.Monika Piotrowska - 2013 - Biology and Philosophy 28 (3):439-455.
    Extrapolation from a well-understood base population to a less-understood target population can fail if the base and target populations are not sufficiently similar. Differences between laboratory mice and humans, for example, can hinder extrapolation in medical research. Mice that carry a partial or complete human physiological system, known as humanized mice, are supposed to make extrapolation more reliable by simulating a variety of human diseases. But what justifies our belief that these mice are similar enough to their human counterparts to (...)
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  • Trust in Science: CRISPR–Cas9 and the Ban on Human Germline Editing.Stephan Guttinger - 2018 - Science and Engineering Ethics 24 (4):1077-1096.
    In 2015 scientists called for a partial ban on genome editing in human germline cells. This call was a response to the rapid development of the CRISPR–Cas9 system, a molecular tool that allows researchers to modify genomic DNA in living organisms with high precision and ease of use. Importantly, the ban was meant to be a trust-building exercise that promises a ‘prudent’ way forward. The goal of this paper is to analyse whether the ban can deliver on this promise. To (...)
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  • Reliability and Validity of Experiment in the Neurobiology of Learning and Memory.Sullivan Jacqueline Anne - 2007 - Dissertation, University of Pittsburgh
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