E-Book, Englisch, Band 92, 131 Seiten, eBook
Reihe: Lecture Notes in Statistics
Eerola Probabilistic Causality in Longitudinal Studies
Erscheinungsjahr 2012
ISBN: 978-1-4612-2684-0
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 92, 131 Seiten, eBook
Reihe: Lecture Notes in Statistics
ISBN: 978-1-4612-2684-0
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
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Research
Autoren/Hrsg.
Weitere Infos & Material
1. Foundations of Probabilistic Causality.- 1.1 Introduction.- 1.2 Historical aspects of causality.- 1.3 Probabilistic causality.- 1.4 Different interpretations of probability in causality.- 1.5 Counterfactuals in causality.- 1.6 Causality in statistical analysis.- 1.7 Discussion.- 2. Predictive Causal Inference in a Series of Events.- 2.1 Introduction.- 2.2 The mathematical framework: marked point processes.- 2.3 The prediction process associated with a marked point process.- 2.4 A hypothetical example of cumulating causes.- 2.5 Causal transmission in terms of the prediction process.- 3. Confidence Statements About the Prediction Process.- 3.1 Introduction.- 3.2 Prediction probabilities in the logistic regression model.- 3.3 Confidence limits for ?t using the delta-method.- 3.4 Confidence limits for ?t fit based on the monotonicity of hazards.- 3.5 Discussion.- 4. Applications.- 4.1 Multistate models in follow-up studies.- 4.2 Modelling dependence between causal events.- 4.3 Two applications.- 4.4 Sensitivity of the innovation gains on hazard specification.- 4.5 Discussion.- 4.6 Computations.- 4.7 Further uses of the method.- 5. Concluding Remarks.- Appendices 1–2.