Causality in the sciences /
There is a need for integrated thinking about causality, probability, and mechanism in scientific methodology. A panoply of disciplines, ranging from epidemiology and biology through to econometrics and physics, routinely make use of these concepts to infer causal relationships. But each of these di...
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| Language: | English |
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Oxford [England]
Oxford University Press
2011.
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Table of Contents:
- Introduction: Why look at causality in the sciences? : a manifesto / Jon Williamson
- Health sciences: Causality, theories and medicine / R. Paul Thompson. Inferring causation in epidemiology : mechanisms, black boxes, and contrasts / Alex Broadbent. Causal modeling, mechanism, and probability in epidemiology / Harold Kincaid. The IARC and mechanistic evidence / Erik Weber. The Russo-Williamson thesis and the question of whether smoking causes heart disease / Donald Gillies
- Psychology: Causal thinking / David Lagnado. When and how do people reason about unobserved causes? / Christian Luhmann. Counterfactual and generative accounts of causal attribution / Steven A. Sloman. The autonomy of psychology in the age of neuroscience / Carl Gillett. Turing machines and causal mechanisms in cognitive science / Anna-Mari Rusanen. Real causes and ideal manipulations : Pearl's theory of causal inference from the point of view of psychological research methods / Keith A. Markus
- Social sciences: Causal mechanisms in the social realm / Daniel Little. Getting past Hume in the philosophy of social science / Ruth Groff. Causal explanation : recursive decompositions and mechanisms / Federica Russo. Counterfactuals and causal structure / Kevin D. Hoover. The error term and its interpretation in structural models in econometrics / Damien Fennell. A comprehensive causality test based on the singular spectrum analysis / Abdol S. Soofi
- Natural sciences: Mechanism schemas and the relationship between biological theories / Tudor M. Baetu. Chances and causes in evolutionary biology : how many chances become one chance / Roberta L. Millstein. Drift and the causes of evolution / Sahotra Sarkar. In defense of a causal requirement on explanation / Garrett Pendergraft. Epistemological issues raised by research on climate change / Paolo Vineis. Explicating the notion of 'causation' : the role of extensive quantities / Antonio Saggion. Causal completeness of probability theories : results and open problems / Balaza Gyenis
- Computer science, probability, and statistics: Causality workbench / Alexander Statnikov. When are graphical causal models not good models? / Abdellah Touhafi. Why making Bayesian networks objectively Bayesian makes sense / Dawn E. Holmes. Probabilistic measures of causal strength / Christopher Hitchcock. A new causal power theory / Lucas Hope. Multiple testing of causal hypotheses / Bud Mishra. Measuring latent causal structure / Ricardo Silva. The structural theory of causation / Judea Pearl. Defining and identifying the effect of treatment on the treated / A. Philip Dawid. Predicting 'it will work for us' : (way) beyond statistics / Nancy Cartwright
- Causality and mechanisms: The idea of mechanism / Stathis Psillos. Singular and general causal relations : a mechanist perspective / Stuart Glennan. Mechanisms are real and local / Jon Williamson. Mechanistic information and causal continuity / Peter Machamer. The causal-process-model theory of mechanisms / Phil Dowe. Mechanisms in dynamically complex systems / Meinard Kuhlmann. Third time's a charm : causation, science and Wittgensteinian pluralism / Julian Reiss.