- Path:
-
Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins
Files
External resources
Periodical
- Title:
- Journal of causal inference
- Publication:
-
Berlin: de Gruyter
- Note:
- Gesehen am 28.07.14
- Open Access
- Namensnennung 4.0 International
- C!z LF gelöscht(28-07-14)
- Scope:
- Online-Ressource
- ISSN:
- 2193-3685
- ZDB-ID:
-
2742570-8
- Keywords:
- Zeitschrift
- Classification:
- Mathematik
- Wirtschaft
- Collection:
- Mathematik
- Wirtschaft
- Copyright:
- Rights reserved
- Accessibility:
- Free Access
- Title:
- Journal of causal inference
- Publication:
-
Berlin: de Gruyter
- Note:
- Gesehen am 28.07.14
- Open Access
- Namensnennung 4.0 International
- C!z LF gelöscht(28-07-14)
- Scope:
- Online-Ressource
- ISSN:
- 2193-3685
- ZDB-ID:
-
2742570-8
- Keywords:
- Zeitschrift
- Classification:
- Mathematik
- Wirtschaft
- Collection:
- Mathematik
- Wirtschaft
- Copyright:
- Rights reserved
- Accessibility:
- Free Access
Article
- Title:
- Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins
- Publication:
-
Berlin: de Gruyter, 2024
- Language:
- English
- Information:
- Abstract: I thank Thomas Richardson and James Robins for their discussion of my article, and discuss the similarities and differences between their approach to causal modelling, based on single world intervention graphs, and my own decision-theoretic approach.
- Scope:
- Online-Ressource
- Note:
- Open Access
- Archivierung/Langzeitarchivierung gewährleistet
- Keywords:
- causal inference ; decision analysis ; distributional consistency ; extended conditional independence ; g -computation ; graphical model ; ignorability ; intention to treat ; potential outcome ; single world intervention graph ; 62A01 ; 62C99
- Classification:
- Mathematik
- Wirtschaft
- Sonstiges
- Collection:
- Mathematik
- Wirtschaft
- Sonstiges
- Copyright:
- CC BY
- Accessibility:
- Free Access
- Title:
- Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins
- Publication:
-
Berlin: de Gruyter, 2024
- Language:
- English
- Information:
- Abstract: I thank Thomas Richardson and James Robins for their discussion of my article, and discuss the similarities and differences between their approach to causal modelling, based on single world intervention graphs, and my own decision-theoretic approach.
- Scope:
- Online-Ressource
- Note:
- Open Access
- Archivierung/Langzeitarchivierung gewährleistet
- Keywords:
- causal inference ; decision analysis ; distributional consistency ; extended conditional independence ; g -computation ; graphical model ; ignorability ; intention to treat ; potential outcome ; single world intervention graph ; 62A01 ; 62C99
- Classification:
- Mathematik
- Wirtschaft
- Sonstiges
- Collection:
- Mathematik
- Wirtschaft
- Sonstiges
- Copyright:
- CC BY
- Accessibility:
- Free Access