Causality (PDF)

Preface (editors) 1 Statistical Causality: Some Historical Remarks AUTHOR(S): D.R. Cox 2 The Language of Potential Outcomes AUTHOR(S): Arvid Sjolander 3 Structural Equations, Graphs and Interventions AUTHOR(S): Ilya Shpitser 4 The Decision-Theoretic Approach to Causal Inference AUTHOR(S): A. Philip Dawid 5 Causal Inference as a Prediction Problem: Assumptions, Identification, and Evidence Synthesis AUTHOR(S): Sander Greenland 6 Graph-Based Criteria of Identifiability of Causal Questions AUTHOR(S): Ilya Shpitser 7 Causal inference from observational data: a Bayesian predictive approach AUTHOR(S): Elja Arjas 8 Causal Inference from Observing Sequences of Actions 9 Causal Effects and Natural Laws: towards a Conceptualization of Causal Counterfactuals for Non-Manipulable Exposures, with Application to the Effects of Race and Sex AUTHOR(S): Tyler J. VanderWeele and Miguel A. Hernan 10 Cross-Classifications by Joint Potential Outcomes AUTHOR(S): Arvid Sjolander 11 Estimation of Direct and Indirect Effects AUTHOR(S): Stijn Vansteelandt 12 The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models AUTHOR(S): Judea Pearl 13 The Sufficient Cause Framework in Statistics, Philosophy and the Biomedical and Social Sciences AUTHOR(S): Tyler J. VanderWeele 14 Inference about Biological Mechanism on the Basis of Epidemiological Data AUTHOR(S): Carlo Berzuini and A. Philip Dawid 15 Ion Channels and Multiple Sclerosis AUTHOR(S): Luisa Bernardinelli, Carlo Berzuini, Luisa Foco and Roberta Pastorino 16 Supplementary Variables For Causal Estimation AUTHOR(S): Roland R. Ramsahai 17 Time-Varying Confounding: Some Practical Considerations in a Likelihood Framework AUTHOR(S): Rhian Daniel, Bianca De Stavola and Simon Cousens 18 Natural Experiments as a Means of Testing Causal Inferences AUTHOR(S): Michael Rutter 19 Nonreactive and Purely Reactive Doses in Observational Studies AUTHOR(S): Paul R. Rosenbaum 20 Evaluation of PotentialMediators in Randomized Trials

Carlo Berzuini and Philip Dawid, Statistical Labority, centre for Mathematical Sciences, University of Cambridge, UK.
Luisa Bernardinelli, MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK.

Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.