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ix | |
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1 | (22) |
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1 Why look at causality in the sciences? A manifesto |
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3 | (20) |
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23 | (104) |
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2 Causality, theories and medicine |
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25 | (20) |
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3 Inferring causation in epidemiology: Mechanisms, black boxes, and contrasts |
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45 | (25) |
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4 Causal modelling, mechanism, and probability in epidemiology |
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70 | (21) |
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5 The IARC and mechanistic evidence |
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91 | (19) |
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6 The Russo-Williamson thesis and the question of whether smoking causes heart disease |
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110 | (17) |
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127 | (144) |
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129 | (21) |
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8 When and how do people reason about unobserved causes? |
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150 | (34) |
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9 Counterfactual and generative accounts of causal attribution |
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184 | (18) |
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10 The autonomy of psychology in the age of neuroscience |
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202 | (22) |
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11 Turing machines and causal mechanisms in cognitive science |
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224 | (16) |
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12 Real causes and ideal manipulations: Pearl's theory of causal inference from the point of view of psychological research methods |
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240 | (31) |
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271 | (134) |
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13 Causal mechanisms in the social realm |
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273 | (23) |
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14 Getting past Hume in the philosophy of social science |
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296 | (21) |
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15 Causal explanation: Recursive decompositions and mechanisms |
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317 | (21) |
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16 Counterfactuals and causal structure |
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338 | (23) |
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17 The error term and its interpretation in structural models in econometrics |
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361 | (18) |
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18 A comprehensive causality test based on the singular spectrum analysis |
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379 | (26) |
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405 | (136) |
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19 Mechanism schemas and the relationship between biological theories |
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407 | (18) |
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20 Chances and causes in evolutionary biology: How many chances become one chance |
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425 | (20) |
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21 Drift and the causes of evolution |
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445 | (25) |
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22 In defense of a causal requirement on explanation |
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470 | (23) |
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23 Epistemological issues raised by research on climate change |
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493 | (9) |
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24 Explicating the notion of `causation': The role of extensive quantities |
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502 | (24) |
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25 Causal completeness of probability theories - Results and open problems |
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526 | (15) |
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Part VI Computer science, probability, and statistics |
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541 | (228) |
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543 | (19) |
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27 When are graphical causal models not good models? |
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562 | (21) |
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28 Why making Bayesian networks objectively Bayesian makes sense |
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583 | (17) |
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29 Probabilistic measures of causal strength |
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600 | (28) |
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30 A new causal power theory |
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628 | (25) |
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31 Multiple testing of causal hypotheses |
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653 | (20) |
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32 Measuring latent causal structure |
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673 | (24) |
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33 The structural theory of causation |
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697 | (31) |
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34 Defining and identifying the effect of treatment on the treated |
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728 | (22) |
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35 Predicting `It will work for us': (Way) beyond statistics |
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750 | (19) |
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Part VII Causality and mechanisms |
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769 | (160) |
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771 | (18) |
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37 Singular and general causal relations: A mechanist perspective |
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789 | (29) |
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38 Mechanisms are real and local |
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818 | (27) |
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39 Mechanistic information and causal continuity |
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845 | (20) |
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40 The causal-process-model theory of mechanisms |
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865 | (15) |
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41 Mechanisms in dynamically complex systems |
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880 | (27) |
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42 Third time's a charm: Causation, science and Wittgensteinian pluralism |
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907 | (22) |
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Index |
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929 | |