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  1. Functional analysis.Robert E. Cummins - 1975 - Journal of Philosophy 72 (November):741-64.
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  • Causation and models of disease in epidemiology.Alex Broadbent - 2009 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 40 (4):302-311.
    Nineteenth-century medical advances were entwined with a conceptual innovation: the idea that many cases of disease which were previously thought to have diverse causes could be explained by the action of a single kind of cause, for example a certain bacterial or parasitic infestation. The focus of modern epidemiology, however, is on chronic non-communicable diseases, which frequently do not seem to be attributable to any single causal factor. This paper is an effort to resolve the resulting tension. The paper criticises (...)
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  • The Biopsychosocial Model of Health and Disease: New Philosophical and Scientific Developments.Derek Bolton & Grant Gillett - 2019 - Springer Verlag.
    This open access book is a systematic update of the philosophical and scientific foundations of the biopsychosocial model of health, disease and healthcare. First proposed by George Engel 40 years ago, the Biopsychosocial Model is much cited in healthcare settings worldwide, but has been increasingly criticised for being vague, lacking in content, and in need of reworking in the light of recent developments. The book confronts the rapid changes to psychological science, neuroscience, healthcare, and philosophy that have occurred since the (...)
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  • The function of function.Matthew Ratcliffe - 2000 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 31 (1):113-133.
    Contemporary analyses of biological function almost invariably advocate a naturalistic analysis, grounding biological functions in some feature of the mind-independent world. Many recent accounts suggest that no single analysis will be appropriate for all cases of use and that biological teleology should be split into several distinct categories. This paper argues that such accounts have paid too little attention to the way in which functional language is used, concentrating instead on the types of situation in which it is used. An (...)
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  • Inference to the Best explanation.Peter Lipton - 2004 - In Martin Curd & Stathis Psillos (eds.), The Routledge Companion to Philosophy of Science. Routledge. pp. 193.
    Science depends on judgments of the bearing of evidence on theory. Scientists must judge whether an observation or the result of an experiment supports, disconfirms, or is simply irrelevant to a given hypothesis. Similarly, scientists may judge that, given all the available evidence, a hypothesis ought to be accepted as correct or nearly so, rejected as false, or neither. Occasionally, these evidential judgments can be made on deductive grounds. If an experimental result strictly contradicts a hypothesis, then the truth of (...)
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  • Developmental Systems and Evolutionary Explanation.P. E. Griffiths & R. D. Gray - 1994 - Journal of Philosophy 91 (6):277-304.
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  • Explanatory pluralism in the medical sciences: Theory and practice.Leen De Vreese, Erik Weber & Jeroen Van Bouwel - 2010 - Theoretical Medicine and Bioethics 31 (5):371-390.
    Explanatory pluralism is the view that the best form and level of explanation depends on the kind of question one seeks to answer by the explanation, and that in order to answer all questions in the best way possible, we need more than one form and level of explanation. In the first part of this article, we argue that explanatory pluralism holds for the medical sciences, at least in theory. However, in the second part of the article we show that (...)
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  • Language, Thought, and Other Biological Categories.Ruth Garrett Millikan - 1984 - Behaviorism 14 (1):51-56.
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  • Causal Control: A Rationale for Causal Selection.Lauren N. Ross - 2015
    Causal selection has to do with the distinction we make between background conditions and “the” true cause or causes of some outcome of interest. A longstanding consensus in philosophy views causal selection as lacking any objective rationale and as guided, instead, by arbitrary, pragmatic, and non-scientific considerations. I argue against this position in the context of causal selection for disease traits. In this domain, causes are selected on the basis of the type of causal control they exhibit over a disease (...)
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