The Resource Causality : statistical perspectives and applications, Carlo Berzuini, Philip Dawid, Luisa Bernardinelli
Causality : statistical perspectives and applications, Carlo Berzuini, Philip Dawid, Luisa Bernardinelli
Resource Information
The item Causality : statistical perspectives and applications, Carlo Berzuini, Philip Dawid, Luisa Bernardinelli represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Causality : statistical perspectives and applications, Carlo Berzuini, Philip Dawid, Luisa Bernardinelli represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
 Summary
 "This book looks at a broad collection of contributions from experts in their fields"
 Language
 eng
 Extent
 xxv, 375 pages
 Contents

 Statistical causality : some historical remarks
 The language of potential outcomes
 Structural equations, graphs and interventions
 The decisiontheoretic approach to causal
 Causal inference as a prediction problem : assumptions, identification, and evidence synthesis
 Graphbased 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 nonmanipulable exposures, with application to the effects of race and sex
 Crossclassifications 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
 Timevarying 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
 Isbn
 9780470665565
 Label
 Causality : statistical perspectives and applications
 Title
 Causality
 Title remainder
 statistical perspectives and applications
 Statement of responsibility
 Carlo Berzuini, Philip Dawid, Luisa Bernardinelli
 Language
 eng
 Summary
 "This book looks at a broad collection of contributions from experts in their fields"
 Assigning source
 Provided by publisher
 Cataloging source
 ITFiEUI
 http://library.link/vocab/creatorName
 Berzuini, Carlo
 Illustrations
 illustrations
 Index
 index present
 Literary form
 non fiction
 Nature of contents
 bibliography
 http://library.link/vocab/relatedWorkOrContributorName

 Dawid, Philip
 Bernardinelli, Luisa
 Series statement
 Wiley series in probability and statistics
 http://library.link/vocab/subjectName

 Estimation theory
 Causation
 Causality (Physics)
 Label
 Causality : statistical perspectives and applications, Carlo Berzuini, Philip Dawid, Luisa Bernardinelli
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier.
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent.
 Contents
 Statistical causality : some historical remarks  The language of potential outcomes  Structural equations, graphs and interventions  The decisiontheoretic approach to causal  Causal inference as a prediction problem : assumptions, identification, and evidence synthesis  Graphbased 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 nonmanipulable exposures, with application to the effects of race and sex  Crossclassifications 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  Timevarying 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
 Control code
 FIEb17547556
 Dimensions
 25 cm.
 Extent
 xxv, 375 pages
 Isbn
 9780470665565
 Media category
 unmediated
 Media MARC source
 rdamedia.
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (OCoLC)767563925
 Label
 Causality : statistical perspectives and applications, Carlo Berzuini, Philip Dawid, Luisa Bernardinelli
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier.
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent.
 Contents
 Statistical causality : some historical remarks  The language of potential outcomes  Structural equations, graphs and interventions  The decisiontheoretic approach to causal  Causal inference as a prediction problem : assumptions, identification, and evidence synthesis  Graphbased 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 nonmanipulable exposures, with application to the effects of race and sex  Crossclassifications 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  Timevarying 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
 Control code
 FIEb17547556
 Dimensions
 25 cm.
 Extent
 xxv, 375 pages
 Isbn
 9780470665565
 Media category
 unmediated
 Media MARC source
 rdamedia.
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (OCoLC)767563925
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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.eui.eu/portal/Causalitystatisticalperspectivesand/Youfdwl8_4s/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Causalitystatisticalperspectivesand/Youfdwl8_4s/">Causality : statistical perspectives and applications, Carlo Berzuini, Philip Dawid, Luisa Bernardinelli</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>