Causality in the sciences /

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Bibliographic Details
Corporate Authors: Oxford University Press.
Group Author: Illari, Phyllis McKay; Russo, Federica, Dr.; Williamson, Jon
Published: Oxford University Press,
Publisher Address: Oxford ; New York :
Publication Dates: 2011.
Literature type: eBook
Language: English
Subjects:
Online Access: http://www.iresearchbook.cn/f/ebook/detail?id=b4342eb7b6234310bd1097d71e3643ad
Carrier Form: 1 online resource (xiii, 938 pages) : illustrations
Bibliography: Includes bibliographical references and index.
ISBN: 9780191060328
9780199574131
Index Number: Q175
CLC: N02
Contents: Introduction --
Why look at causality in the sciences? A manifesto /
Health sciences --
Causality, theories and medicine /
Inferring causation in epidemiology: Mechanisms, black boxes, and contrasts /
Causal modeling, mechanism, and probability in epidemiology /
The IARC and mechanistic evidence /
The Russo-Williamson thesis and the question of whether smoking causes heart disease /
Psychology --
Causal thinking /
When and how do people reason about unobserved causes? /
Counterfactual and generative accounts of causal attribution /
The autonomy of psychology in the age of neuroscience /
Turing machines and causal mechanisms in cognitive science /
Real causes and ideal manipulations: Pearl's theory of causal inference from the point of view of psychological research methods /
Social sciences --
Causal mechanisms in the social realm /
Getting past Hume in the philosophy of social science /
Causal explanation: Recursive decompositions and mechanisms /
Counterfactuals and causal structure /
The error term and its interpretation in structural models in econometrics /
A comprehensive causality test based on the singular spectrum analysis /
Natural sciences --
Mechanism schemas and the relationship between biological theories /
Chances and causes in evolutionary biology: How many chances become one chance /
Drift and the causes of evolution /
In defense of a causal requirement on explanation /
Epistemological issues raised by research on climate change /
Explicating the notion of 'causation' : the role of extensive quantities /
Causal completeness of probability theories -- results and open problems /
Causality workbench /
When are graphical causal models not good models? /
Why making Bayesian networks objectively Bayesian makes sense /
Probabilistic measures of causal strength /
A new causal power theory /
Multiple testing of causal hypotheses /
Measuring latent causal structure /
The structural theory of causation /
Defining and identifying the effect of treatment on the treated /
Predicting 'it will work for us' : (way) beyond statistics /
Causality and mechanisms --
The idea of mechanism /
Singular and general causal relations : a mechanist perspective /
Mechanisms are real and local /
Mechanistic information and causal continuity /
The causal-process-model theory of mechanisms /
Mechanisms in dynamically complex systems /
Third time's a charm : Causation, science and Wittgensteinian pluralism /