Causality [[electronic resource] ] : statistical perspectives and applications / / edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli |
Autore | Berzuini Carlo |
Pubbl/distr/stampa | Chichester, West Sussex, U.K., : Wiley, 2012 |
Descrizione fisica | 1 online resource (415 p.) |
Disciplina | 519.5/44 |
Altri autori (Persone) |
BerzuiniCarlo
DawidPhilip BernardinelliLuisa |
Collana | Wiley series in probability and statistics |
Soggetto topico |
Estimation theory
Causation Causality (Physics) |
ISBN |
1-119-94173-3
1-280-67923-9 9786613656162 1-119-94571-2 1-119-94570-4 |
Classificazione | MAT029000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Statistical causality : some historical remarks -- The language of potential outcomes -- Structural equations, graphs and interventions -- The decision-theoretic approach to causal -- Causal inference as a prediction problem : assumptions, identification, and evidence synthesis -- Graph-based criteria of identifiability of causal questions -- Causal inference from observational data : a Bayesian predictive approach -- Causal inference from observing sequences of actions -- Causal effects and natural laws : towards a conceptualization of causal counterfactuals -- For non-manipulable exposures, with application to the effects of race and sex -- Cross-classifications by joint potential outcomes -- Estimation of direct and indirect effects -- The mediation formula : a guide to the assessment of causal pathways in nonlinear models -- The sufficient cause framework in statistics, philosophy and the biomedical and social sciences -- Inference about biological mechanism on the basis of epidemiological data -- Ion channels and multiple sclerosis -- Supplementary variables for causal estimation -- Time-varying confounding : some practical considerations in a likelihood framework -- Natural experiments as a means of testing causal inferences -- Nonreactive and purely reactive doses in observational studies -- Evaluation of potential mediators in randomized trials of complex interventions (psychotherapies) -- Causal inference in clinical trials -- Granger causality and causal inference in time series analysis -- Dynamic molecular networks and mechanisms iIn the biosciences : a statistical framework. |
Record Nr. | UNINA-9910139088403321 |
Berzuini Carlo
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Chichester, West Sussex, U.K., : Wiley, 2012 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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Causality [[electronic resource] ] : statistical perspectives and applications / / edited by Carlo Berzuini, Philip Dawid, Luisa Bernardinelli |
Autore | Berzuini Carlo |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Chichester, West Sussex, U.K., : Wiley, 2012 |
Descrizione fisica | 1 online resource (415 p.) |
Disciplina | 519.5/44 |
Altri autori (Persone) |
BerzuiniCarlo
DawidPhilip BernardinelliLuisa |
Collana | Wiley series in probability and statistics |
Soggetto topico |
Estimation theory
Causation Causality (Physics) |
ISBN |
1-119-94173-3
1-280-67923-9 9786613656162 1-119-94571-2 1-119-94570-4 |
Classificazione | MAT029000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Statistical causality : some historical remarks -- The language of potential outcomes -- Structural equations, graphs and interventions -- The decision-theoretic approach to causal -- Causal inference as a prediction problem : assumptions, identification, and evidence synthesis -- Graph-based criteria of identifiability of causal questions -- Causal inference from observational data : a Bayesian predictive approach -- Causal inference from observing sequences of actions -- Causal effects and natural laws : towards a conceptualization of causal counterfactuals -- For non-manipulable exposures, with application to the effects of race and sex -- Cross-classifications by joint potential outcomes -- Estimation of direct and indirect effects -- The mediation formula : a guide to the assessment of causal pathways in nonlinear models -- The sufficient cause framework in statistics, philosophy and the biomedical and social sciences -- Inference about biological mechanism on the basis of epidemiological data -- Ion channels and multiple sclerosis -- Supplementary variables for causal estimation -- Time-varying confounding : some practical considerations in a likelihood framework -- Natural experiments as a means of testing causal inferences -- Nonreactive and purely reactive doses in observational studies -- Evaluation of potential mediators in randomized trials of complex interventions (psychotherapies) -- Causal inference in clinical trials -- Granger causality and causal inference in time series analysis -- Dynamic molecular networks and mechanisms iIn the biosciences : a statistical framework. |
Record Nr. | UNINA-9910820793703321 |
Berzuini Carlo
![]() |
||
Chichester, West Sussex, U.K., : Wiley, 2012 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|