The rest of this book is organized as follows. Chapter 2 covers the literature review of the Neyman-Rubin's counterfactual framework of causal inference, general assumptions for causal studies, Pearl's graphical causal modeling, causal mediation analysis, and causal modification analysis. The section of causal mediation study describes motivations for empirically assessing mediation, traditional mediation analysis, counterfactual mediation analysis, assumptions for identifying the direct and indirect effects, Pearl's causal mediation formula, and regression-based approaches for mediation study. The section on causal modification study describes motivations for assessing causal effect heterogeneity, definitions and notations for modification, relations between modifier and mediator, assumptions for identifying conditional average treatment effect, and stratification analysis and other machine learning approaches for causal modification study.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The rest of this book is organized as follows. Chapter 2 covers the literature review of the Neyman-Rubin's counterfactual framework of causal inference, general assumptions for causal studies, Pearl's graphical causal modeling, causal mediation analysis, and causal modification analysis. The section of causal mediation study describes motivations for empirically assessing mediation, traditional mediation analysis, counterfactual mediation analysis, assumptions for identifying the direct and indirect effects, Pearl's causal mediation formula, and regression-based approaches for mediation study. The section on causal modification study describes motivations for assessing causal effect heterogeneity, definitions and notations for modification, relations between modifier and mediator, assumptions for identifying conditional average treatment effect, and stratification analysis and other machine learning approaches for causal modification study. 124 pp. Englisch. N° de réf. du vendeur 9783384266651
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The rest of this book is organized as follows. Chapter 2 covers the literature review of the Neyman-Rubin s counterfactual framework of causal inference, general assumptions for causal studies, Pearl s graphical causal modeling, causal mediation analysis, a. N° de réf. du vendeur 1718407268
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. Neuware -The rest of this book is organized as follows. Chapter 2 covers the literature review of the Neyman-Rubin¿s counterfactual framework of causal inference, general assumptions for causal studies, Pearl¿s graphical causal modeling, causal mediation analysis, and causal modification analysis. The section of causal mediation study describes motivations for empirically assessing mediation, traditional mediation analysis, counterfactual mediation analysis, assumptions for identifying the direct and indirect effects, Pearl¿s causal mediation formula, and regression-based approaches for mediation study. The section on causal modification study describes motivations for assessing causal effect heterogeneity, definitions and notations for modification, relations between modifier and mediator, assumptions for identifying conditional average treatment effect, and stratification analysis and other machine learning approaches for causal modification study.tredition, Heinz-Beusen-Stieg 5, 22926 Ahrensburg 124 pp. Englisch. N° de réf. du vendeur 9783384266651
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rest of this book is organized as follows. Chapter 2 covers the literature review of the Neyman-Rubin's counterfactual framework of causal inference, general assumptions for causal studies, Pearl's graphical causal modeling, causal mediation analysis, and causal modification analysis. The section of causal mediation study describes motivations for empirically assessing mediation, traditional mediation analysis, counterfactual mediation analysis, assumptions for identifying the direct and indirect effects, Pearl's causal mediation formula, and regression-based approaches for mediation study. The section on causal modification study describes motivations for assessing causal effect heterogeneity, definitions and notations for modification, relations between modifier and mediator, assumptions for identifying conditional average treatment effect, and stratification analysis and other machine learning approaches for causal modification study. N° de réf. du vendeur 9783384266651
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Beyond Mediation and Modification: A Deeper Look at Cause and Effect | Saniya | Taschenbuch | Englisch | 2024 | Mia Graf | EAN 9783384266651 | Verantwortliche Person für die EU: tredition GmbH, Heinz-Beusen-Stieg 5, 22926 Ahrensburg, info[at]tredition[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 129490381
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