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  1. Scientific Theories and Philosophical Stances: Themes from van Fraassen.Claus Beisbart & Michael Frauchiger (eds.) - 2024 - De Gruyter.
    Since the publication of his seminal monograph "The scientific image", Bas van Fraassen is a key figure in philosophy of science. In this book, other philosophers with various outlooks critically discuss his work on theories, empiricism and philosophical stances. The book starts with a new article by van Fraassen on his preferred account of theories, the so-called semantic view. This account is now 50 years old, and van Fraassen takes this anniversary as an opportunity to review the account, its history (...)
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  • Treatment effectiveness, generalizability, and the explanatory/pragmatic-trial distinction.Steven Tresker - 2022 - Synthese 200 (4):1-29.
    The explanatory/pragmatic-trial distinction enjoys a burgeoning philosophical and medical literature and a significant contingent of support among philosophers and healthcare stakeholders as an important way to assess the design and results of randomized controlled trials. A major motivation has been the need to provide relevant, generalizable data to drive healthcare decisions. While talk of pragmatic and explanatory trials could be seen as convenient shorthand, the distinction can also be seen as harboring deeper issues related to inferential strategies used to evaluate (...)
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  • Contrastive Evidence and Inductive Risk.Jaakko Kuorikoski - 2024 - British Journal for the Philosophy of Science 75 (1):61-76.
    I argue that non-epistemic values are necessarily embedded in the measure of evidential strength of contrastive evidence. When evidence is contrastive, evidence is stronger the more it favours a hypothesis over a set of plausible, mutually exclusive alternative hypotheses. In such a contrastive epistemic setting, evidence has an effect not only on a particular hypothesis, but on the whole probability distribution over the set of alternative hypotheses. A natural way of analysing the incremental impact of new evidence on a set (...)
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  • Norton's material theory of analogy.Paul Bartha - 2020 - Studies in History and Philosophy of Science Part A 82:104-113.
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  • Evidence-Based Policy: The Tension Between the Epistemic and the Normative.Donal Khosrowi & Julian Reiss - 2019 - Critical Review: A Journal of Politics and Society 31 (2):179-197.
    Acceding to the demand that public policy should be based on “the best available evidence” can come at significant moral cost. Important policy questions cannot be addressed using “the best available evidence” as defined by the evidence-based policy paradigm; the paradigm can change the meaning of questions so that they can be addressed using the preferred kind of evidence; and important evidence that does not meet the standard defined by the paradigm can get ignored. We illustrate these problems in three (...)
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  • A pluralistic and socially responsible philosophy of epidemiology field should actively engage with social determinants of health and health disparities.Sean A. Valles - 2019 - Synthese 198 (Suppl 10):2589-2611.
    Philosophy of epidemiology has recently emerged as a distinct branch of philosophy. The field will surely benefit from pluralism, reflected in the broad range of topics and perspectives in this special issue. Here, I argue that a healthy pluralistic field of philosophy of epidemiology has social responsibilities that require the field as a whole to engage actively with research on social determinants of health and health disparities. Practicing epidemiologists and the broader community of public health scientists have gradually acknowledged that (...)
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  • Legacy Data, Radiocarbon Dating, and Robustness Reasoning.Alison Wylie - manuscript
    *PSA 2016, symposium on “Data in Time: Epistemology of Historical Data” organized by Sabina Leonelli, 5 November 2016* *See published version: "Radiocarbon Dating in Archaeology: Triangulation and Traceability" in Data Journeys in the Sciences (2020) - link below* Archaeologists put a premium on pressing “legacy data” into service, given the notoriously selective and destructive nature of their practices of data capture. Legacy data consist of material and records that been assembled over decades, sometimes centuries, often by means and for purposes (...)
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  • An Evidence-Hierarchical Decision Aid for Ranking in Evidence-Based Medici.Jürgen Landes - 2020 - In Barbara Osimani & Adam La Caze (eds.), Uncertainty in Pharmacology. pp. 231-259.
    This chapter addresses the problem of ranking available drugs in guideline development to support clinicians in their work. Based on a pragmatic approach to the notion of evidence and a hierarchical view on different kinds of evidence this chapter introduces a decision aid, HiDAD, which draws on the multi criteria decision making literature. This decision aid implements the wide-spread intuition that there are different kinds of evidence with varying degrees of importance by relying on a strict ordinal ordering of kinds (...)
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  • Is cancer a matter of luck?Anya Plutynski - 2021 - Biology and Philosophy 36 (1):1-28.
    In 2015, Tomasetti and Vogelstein published a paper in Science containing the following provocative statement: “… only a third of the variation in cancer risk among tissues is attributable to environmental factors or inherited predispositions. The majority is due to “bad luck,” that is, random mutations arising during DNA replication in normal, noncancerous stem cells.” The paper—and perhaps especially this rather coy reference to “bad luck”—became a flash point for a series of letters and reviews, followed by replies and yet (...)
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  • Treatment Effectiveness and the Russo–Williamson Thesis, EBM+, and Bradford Hill's Viewpoints.Steven Tresker - 2021 - International Studies in the Philosophy of Science 34 (3):131-158.
    Establishing the effectiveness of medical treatments is one of the most important aspects of medical practice. Bradford Hill's viewpoints play an important role in inferring causality in medicine,...
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  • Evidence, Relevance and Warrant: In Defence of Voluntarism.Nancy Cartwright - 2024 - In Claus Beisbart & Michael Frauchiger (eds.), Scientific Theories and Philosophical Stances: Themes from van Fraassen. De Gruyter. pp. 193-206.
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  • What are the drivers of induction? Towards a Material Theory+.Julian Reiss - 2020 - Studies in History and Philosophy of Science Part A 83 (C):8-16.
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  • Evidence in Neuroimaging: Towards a Philosophy of Data Analysis.Jessey Wright - 2017 - Dissertation, The University of Western Ontario
    Neuroimaging technology is the most widely used tool to study human cognition. While originally a promising tool for mapping the content of cognitive theories onto the structures of the brain, recently developed tools for the analysis, handling and sharing of data have changed the theoretical landscape of cognitive neuroscience. Even with these advancements philosophical analyses of evidence in neuroimaging remain skeptical of the promise of neuroimaging technology. These views often treat the analysis techniques used to make sense of data produced (...)
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  • What Counts as Evidence in an Evidence Based World?Baigrie Brian & Mercuri Mathew - 2019 - Journal of Evaluation in Clinical Practice 25:533-535.
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  • Framing the Epistemic Schism of Statistical Mechanics.Javier Anta - 2021 - Proceedings of the X Conference of the Spanish Society of Logic, Methodology and Philosophy of Science.
    In this talk I present the main results from Anta (2021), namely, that the theoretical division between Boltzmannian and Gibbsian statistical mechanics should be understood as a separation in the epistemic capabilities of this physical discipline. In particular, while from the Boltzmannian framework one can generate powerful explanations of thermal processes by appealing to their microdynamics, from the Gibbsian framework one can predict observable values in a computationally effective way. Finally, I argue that this statistical mechanical schism contradicts the Hempelian (...)
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  • Evidence amalgamation in the sciences: an introduction.Roland Poellinger, Jürgen Landes & Samuel C. Fletcher - 2019 - Synthese 196 (8):3163-3188.
    Amalgamating evidence from heterogeneous sources and across levels of inquiry is becoming increasingly important in many pure and applied sciences. This special issue provides a forum for researchers from diverse scientific and philosophical perspectives to discuss evidence amalgamation, its methodologies, its history, its pitfalls, and its potential. We situate the contributions therein within six themes from the broad literature on this subject: the variety-of-evidence thesis, the philosophy of meta-analysis, the role of robustness/sensitivity analysis for evidence amalgamation, its bearing on questions (...)
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  • Two approaches to reasoning from evidence or what econometrics can learn from biomedical research.Julian Reiss - 2015 - Journal of Economic Methodology 22 (3):373-390.
    This paper looks at an appeal to the authority of biomedical research that has recently been used by empirical economists to motivate and justify their methods. I argue that those who make this appeal mistake the nature of biomedical research. Randomised trials, which are said to have revolutionised biomedical research, are a central methodology, but according to only one paradigm. There is another paradigm at work in biomedical research, the inferentialist paradigm, in which randomised trials play no special role. I (...)
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  • Suppes’ probabilistic theory of causality and causal inference in economics.Julian Reiss - 2016 - Journal of Economic Methodology 23 (3):289-304.
    This paper examines Patrick Suppes’ probabilistic theory of causality understood as a theory of causal inference, and draws some lessons for empirical economics and contemporary debates in the foundations of econometrics. It argues that a standard method of empirical economics, multiple regression, is inadequate for most but the simplest applications, that the Bayes’ nets approach, which can be understood as a generalisation of Suppes’ theory, constitutes a considerable improvement but is still subject to important limitations, and that the currently fashionable (...)
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  • Against external validity.Julian Reiss - 2019 - Synthese 196 (8):3103-3121.
    Francesco Guala once wrote that ‘The problem of extrapolation is a minor scandal in the philosophy of science’. This paper agrees with the statement, but for reasons different from Guala’s. The scandal is not, or not any longer, that the problem has been ignored in the philosophy of science. The scandal is that framing the problem as one of external validity encourages poor evidential reasoning. The aim of this paper is to propose an alternative—an alternative which constitutes much better evidential (...)
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  • Qualitative Research Methods and Evidential Reasoning.Corrado Matta - 2019 - Philosophy of the Social Sciences 49 (5):385-412.
    This article discusses the concept of evidential reasoning in the context of qualitative research methods in the social sciences. A conceptualization of qualitative evidential reasoning is proposed...
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  • Evidence based methodology: a naturalistic analysis of epistemic policies in regulatory science.José Luis Luján & Oliver Todt - 2021 - European Journal for Philosophy of Science 11 (1):1-19.
    In this paper we argue for a naturalistic solution to some of the methodological controversies in regulatory science, on the basis of two case studies: toxicology and health claim regulation. We analyze the debates related to the scientific evidence that is considered necessary for regulatory decision making in each of those two fields, with a particular attention to the interactions between scientific and regulatory aspects. This analysis allows us to identify two general stances in the debate: a) one that argues (...)
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  • Extrapolating from experiments, confidently.Donal Khosrowi - 2023 - European Journal for Philosophy of Science 13 (2):1-28.
    Extrapolating causal effects from experiments to novel populations is a common practice in evidence-based-policy, development economics and other social science areas. Drawing on experimental evidence of policy effectiveness, analysts aim to predict the effects of policies in new populations, which might differ importantly from experimental populations. Existing approaches made progress in articulating the sorts of similarities one needs to assume to enable such inferences. It is also recognized, however, that many of these assumptions will remain surrounded by significant uncertainty in (...)
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  • A Tool-Based View of Theories of Evidence.Chien-Yang Huang - 2020 - Dissertation, Durham University
    Philosophical theories of evidence have been on offer, but they are mostly evaluated in terms of all-or-none desiderata — if they fail to meet one of the desiderata, they are not a satisfactory theory. In this thesis, I aim to accomplish three missions. Firstly, I construct a new way of evaluating theories of evidence, which I call a tool-based view. Secondly, I analyse the nature of what I will call the various relevance-mediating vehicles that each theory of evidence employs. Thirdly, (...)
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  • Robustness, evidence, and uncertainty: an exploration of policy applications of robustness analysis.Nicolas Wüthrich - unknown
    Policy-makers face an uncertain world. One way of getting a handle on decision-making in such an environment is to rely on evidence. Despite the recent increase in post-fact figures in politics, evidence-based policymaking takes centre stage in policy-setting institutions. Often, however, policy-makers face large volumes of evidence from different sources. Robustness analysis can, prima facie, handle this evidential diversity. Roughly, a hypothesis is supported by robust evidence if the different evidential sources are in agreement. In this thesis, I strengthen the (...)
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