Causation, Evidence, and Inference

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Aflatoxin Consumption
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Author_Julian Reiss
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causal inference in social sciences
causal inference methods
Causal Laws
Causal Power Theories
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Counterfactual Account
Counterfactual Antecedent
Counterfactual Dependence
counterfactual reasoning
dependence
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Evidential Pluralism
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Inferential Target
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Inferentially Connected
Liver Cancer Incidence
Metabolize Vitamin D3
Nomological Machine
Non-experimental Evidence
Nonsense Correlations
philosophy of science
policy analysis research
Probabilistically Dependent
relations
singular
Singular Causal
Singular Causal Relations
statistical modeling techniques
theory
Tv Consumption
Vice Versa
Violent Tv Program
Young Men

Product details

  • ISBN 9780815371984
  • Weight: 340g
  • Dimensions: 152 x 229mm
  • Publication Date: 28 Nov 2017
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistical and econometric tools, causal modeling and thought experiments. But how do these different methods relate to each other and to the causal inquiry at hand? Reiss argues that there is no "gold standard" in settling causal issues against which other methods can be measured. Rather, the various methods of inference tend to be good only relative to certain interpretations of the word "cause", and each interpretation, in turn, helps to address some salient purpose (prediction, explanation or policy analysis) but not others. The main objective of this book is to explore the metaphysical and methodological consequences of this view in the context of numerous cases studies from the natural and social sciences.

Julian Reiss (PhD 2002, LSE) is Professor of Philosophy at Durham University and Co-Director of the Centre for Humanities Engaging Science and Society (CHESS). His main research interests are methodologies of the sciences (especially causality and causal inference, models, simulations and thought experiments, and counterfactuals), philosophy of economics, and science and values.

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