- Title Pages
- List of Contributors
- 1 Why look at causality in the sciences? A manifesto
- 2 Causality, theories and medicine
- 3 Inferring causation in epidemiology: Mechanisms, black boxes, and contrasts
- 4 Causal modelling, mechanism, and probability in epidemiology
- 5 The IARC and mechanistic evidence
- 6 The Russo–Williamson thesis and the question of whether smoking causes heart disease
- 7 Causal thinking
- 8 When and how do people reason about unobserved causes?
- 9 Counterfactual and generative accounts of causal attribution
- 10 The autonomy of psychology in the age of neuroscience
- 11 Turing machines and causal mechanisms in cognitive science
- 12 Real causes and ideal manipulations: Pearl's theory of causal inference from the point of view of psychological research methods
- 13 Causal mechanisms in the social realm
- 14 Getting past Hume in the philosophy of social science
- 15 Causal explanation: Recursive decompositions and mechanisms
- 16 Counterfactuals and causal structure
- 17 The error term and its interpretation in structural models in econometrics
- 18 A comprehensive causality test based on the singular spectrum analysis
- 19 Mechanism schemas and the relationship between biological theories
- 20 Chances and causes in evolutionary biology: How many chances become one chance
- 21 Drift and the causes of evolution
- 22 In defense of a causal requirement on explanation
- 23 Epistemological issues raised by research on climate change
- 24 Explicating the notion of ‘causation’: The role of extensive quantities
- 25 Causal completeness of probability theories — Results and open problems
- 26 Causality Workbench
- 27 When are graphical causal models not good models?
- 28 Why making Bayesian networks objectively Bayesian makes sense
- 29 Probabilistic measures of causal strength
- 30 A new causal power theory
- 31 Multiple testing of causal hypotheses
- 32 Measuring latent causal structure
- 33 The structural theory of causation
- 34 Defining and identifying the effect of treatment on the treated
- 35 Predicting ‘It will work for us’: (Way) beyond statistics
- 36 The idea of mechanism
- 37 Singular and general causal relations: A mechanist perspective
- 38 Mechanisms are real and local
- 39 Mechanistic information and causal continuity
- 40 The causal‐process‐model theory of mechanisms
- 41 Mechanisms in dynamically complex systems
- 42 Third time's a charm: Causation, science and Wittgensteinian pluralism
- Index
Title Pages
- Source:
- Causality in the Sciences
- Publisher:
- Oxford University Press
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- Title Pages
- List of Contributors
- 1 Why look at causality in the sciences? A manifesto
- 2 Causality, theories and medicine
- 3 Inferring causation in epidemiology: Mechanisms, black boxes, and contrasts
- 4 Causal modelling, mechanism, and probability in epidemiology
- 5 The IARC and mechanistic evidence
- 6 The Russo–Williamson thesis and the question of whether smoking causes heart disease
- 7 Causal thinking
- 8 When and how do people reason about unobserved causes?
- 9 Counterfactual and generative accounts of causal attribution
- 10 The autonomy of psychology in the age of neuroscience
- 11 Turing machines and causal mechanisms in cognitive science
- 12 Real causes and ideal manipulations: Pearl's theory of causal inference from the point of view of psychological research methods
- 13 Causal mechanisms in the social realm
- 14 Getting past Hume in the philosophy of social science
- 15 Causal explanation: Recursive decompositions and mechanisms
- 16 Counterfactuals and causal structure
- 17 The error term and its interpretation in structural models in econometrics
- 18 A comprehensive causality test based on the singular spectrum analysis
- 19 Mechanism schemas and the relationship between biological theories
- 20 Chances and causes in evolutionary biology: How many chances become one chance
- 21 Drift and the causes of evolution
- 22 In defense of a causal requirement on explanation
- 23 Epistemological issues raised by research on climate change
- 24 Explicating the notion of ‘causation’: The role of extensive quantities
- 25 Causal completeness of probability theories — Results and open problems
- 26 Causality Workbench
- 27 When are graphical causal models not good models?
- 28 Why making Bayesian networks objectively Bayesian makes sense
- 29 Probabilistic measures of causal strength
- 30 A new causal power theory
- 31 Multiple testing of causal hypotheses
- 32 Measuring latent causal structure
- 33 The structural theory of causation
- 34 Defining and identifying the effect of treatment on the treated
- 35 Predicting ‘It will work for us’: (Way) beyond statistics
- 36 The idea of mechanism
- 37 Singular and general causal relations: A mechanist perspective
- 38 Mechanisms are real and local
- 39 Mechanistic information and causal continuity
- 40 The causal‐process‐model theory of mechanisms
- 41 Mechanisms in dynamically complex systems
- 42 Third time's a charm: Causation, science and Wittgensteinian pluralism
- Index