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  1. Hunting Causes and Using Them: Approaches in Philosophy and Economics.Nancy Cartwright (ed.) - 2007 - New York: Cambridge University Press.
    Hunting Causes and Using Them argues that causation is not one thing, as commonly assumed, but many. There is a huge variety of causal relations, each with different characterizing features, different methods for discovery and different uses to which it can be put. In this collection of new and previously published essays, Nancy Cartwright provides a critical survey of philosophical and economic literature on causality, with a special focus on the currently fashionable Bayes-nets and invariance methods - and it exposes (...)
  • Where is the theory in our 'theories' of causality?Nancy Cartwright - 2007 - In Hunting Causes and Using Them: Approaches in Philosophy and Economics. New York: Cambridge University Press. pp. 43-56.
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  • What evidence in evidence-based medicine?John Worrall - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S316-S330.
    Evidence-Based Medicine is a relatively new movement that seeks to put clinical med- icine on a firmer scientific footing. I take it as uncontroversial that medical practice should be based on best evidence-the interesting questions concern the details. This paper tries to move towards a coherent and unified account of best evidence in medicine, by exploring in particular the EBM position on RCTs (randomized controlled trials).
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  • What Evidence in Evidence‐Based Medicine?John Worrall - 2002 - Philosophy of Science 69 (S3):S316-S330.
    Evidence-Based Medicine is a relatively new movement that seeks to put clinical medicine on a firmer scientific footing. I take it as uncontroversial that medical practice should be based on best evidence—the interesting questions concern the details. This paper tries to move towards a coherent and unified account of best evidence in medicine, by exploring in particular the EBM position on RCTs.
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  • A probabilistic theory of causality.Patrick Suppes - 1970 - Amsterdam: North-Holland Pub. Co..
  • A Probabilistic Theory of Causality.Alex C. Michalos - 1972 - Philosophy of Science 39 (4):560-561.
  • Causal necessity: a pragmatic investigation of the necessity of laws.Brian Skyrms - 1980 - New Haven: Yale University Press.
  • Causal Necessity: A Pragmatic Investigation of the Necessity of Laws.C. A. Hooker - 1984 - Noûs 18 (3):517-521.
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  • Probabilistic Causality Emancipated.John Dupré - 1984 - Midwest Studies in Philosophy 9 (1):169-175.
  • Reversing Silenus' Wisdom.David E. Cartwright - 1991 - In Mazzino Montinari, Wolfgang Müller-Lauter, Heinz Wenzel, Günter Abel & Werner Stegmaier (eds.), 1991. De Gruyter. pp. 309-313.
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  • Nature's capacities and their measurement.Nancy Cartwright - 1989 - New York: Oxford University Press.
    Ever since David Hume, empiricists have barred powers and capacities from nature. In this book Cartwright argues that capacities are essential in our scientific world, and, contrary to empiricist orthodoxy, that they can meet sufficiently strict demands for testability. Econometrics is one discipline where probabilities are used to measure causal capacities, and the technology of modern physics provides several examples of testing capacities (such as lasers). Cartwright concludes by applying the lessons of the book about capacities and probabilities to the (...)
  • How the laws of physics lie.Nancy Cartwright - 1983 - New York: Oxford University Press.
    In this sequence of philosophical essays about natural science, the author argues that fundamental explanatory laws, the deepest and most admired successes of modern physics, do not in fact describe regularities that exist in nature. Cartwright draws from many real-life examples to propound a novel distinction: that theoretical entities, and the complex and localized laws that describe them, can be interpreted realistically, but the simple unifying laws of basic theory cannot.
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  • Evidence-based policy: what’s to be done about relevance?: For the 2008 Oberlin Philosophy Colloquium. [REVIEW]Nancy Cartwright - 2009 - Philosophical Studies 143 (1):127 - 136.
    How can philosophy of science be of more practical use? One thing we can do is provide practicable advice about how to determine when one empirical claim is relevant to the truth of another; i.e., about evidential relevance. This matters especially for evidence-based policy, where advice is thin—and misleading—about how to tell what counts as evidence for policy effectiveness. This paper argues that good efficacy results (as in randomized controlled trials), which are all the rage now, are only a very (...)
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  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
    Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.
  • Statistical explanation & statistical relevance.Wesley C. Salmon - 1971 - [Pittsburgh]: University of Pittsburgh Press. Edited by Richard C. Jeffrey & James G. Greeno.
    Through his S–R model of statistical relevance, Wesley Salmon offers a solution to the scientific explanation of objectively improbable events.
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  • The Dappled World: A Study of the Boundaries of Science.Nancy Cartwright - 1999 - New York, NY: Cambridge University Press.
    It is often supposed that the spectacular successes of our modern mathematical sciences support a lofty vision of a world completely ordered by one single elegant theory. In this book Nancy Cartwright argues to the contrary. When we draw our image of the world from the way modern science works - as empiricism teaches us we should - we end up with a world where some features are precisely ordered, others are given to rough regularity and still others behave in (...)
  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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  • The Dappled World: A Study of the Boundaries of Science.Nancy Cartwright - 2002 - Noûs 36 (4):699-725.
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  • The Dappled World: A Study of the Boundaries of Science.Nancy Cartwright - 2001 - Erkenntnis 54 (3):411-415.
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  • The Dappled World: A Study of the Boundaries of Science.Nancy Cartwright - 1999 - Philosophy 75 (294):613-616.
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  • A Probabilistic Theory of Causality.P. Suppes - 1973 - British Journal for the Philosophy of Science 24 (4):409-410.
     
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  • The Class Size Debate: Is Small Better?Peter Blatchford, Paul Bassett, Harvey Goldstein, Claire Martin, Gemma Catchpole & Suzanne Edmonds - 2003 - British Journal of Educational Studies 51 (4):428-430.
     
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