Causal inference from observational data: A Bayesian predictive approach
This chapter contains sections titled: Background A model prototype Extension to sequential regimes Providing a causal interpretation: Predictive inference from data Discussion Acknowledgement References
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| Published in | Causality Vol. 986; pp. 71 - 84 |
|---|---|
| Main Author | |
| Format | Book Chapter |
| Language | English |
| Published |
United Kingdom
Wiley
2012
John Wiley & Sons, Ltd |
| Subjects | |
| Online Access | Get full text |
| ISBN | 0470665564 9780470665565 |
| DOI | 10.1002/9781119945710.ch7 |
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| Abstract | This chapter contains sections titled:
Background
A model prototype
Extension to sequential regimes
Providing a causal interpretation: Predictive inference from data
Discussion
Acknowledgement
References |
|---|---|
| AbstractList | This chapter contains sections titled:
Background
A model prototype
Extension to sequential regimes
Providing a causal interpretation: Predictive inference from data
Discussion
Acknowledgement
References |
| Author | Arjas, Elja |
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| DOI | 10.1002/9781119945710.ch7 |
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| Editor | Bernardinelli, Luisa Berzuini, Carlo Dawid, Philip |
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| PublicationSubtitle | Statistical Perspectives and Applications |
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Background
A model prototype
Extension to sequential regimes
Providing a causal interpretation: Predictive inference... |
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| SubjectTerms | causal inference from observational data, Bayesian predictive causality, and temporality, confounding, statistical inference effects of causes, in terms of posterior predictive distributions/expectations G‐computation algorithm, on model parameter and treatment assignments marked point formalism, and latent variables and developments marked point sequence and counting processes, in continuous time MATHEMATICS potential, or counterfactual outcomes, drawback of sequential regimes Robins' model, extension of Rubin causal model to sequential designs unconfounded inference conditions, against bias in causal conclusions unconfounded statistical inferences, from observational data |
| Title | Causal inference from observational data: A Bayesian predictive approach |
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