LEADER 05312nam 2200661 450 001 9910459790903321 005 20200520144314.0 010 $a0-19-932588-X 035 $a(CKB)3710000000331774 035 $a(EBL)1920742 035 $a(SSID)ssj0001401938 035 $a(PQKBManifestationID)12596391 035 $a(PQKBTitleCode)TC0001401938 035 $a(PQKBWorkID)11357721 035 $a(PQKB)11674804 035 $a(MiAaPQ)EBC1920742 035 $a(Au-PeEL)EBL1920742 035 $a(CaPaEBR)ebr11006375 035 $a(CaONFJC)MIL691752 035 $a(OCoLC)900346888 035 $a(EXLCZ)993710000000331774 100 $a20150127h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aExplanation in causal inference $emethods for mediation and interaction /$fTyler J. VanderWeele 210 1$aNew York :$cOxford University Press,$d2015. 210 4$dİ2015 215 $a1 online resource (729 p.) 300 $aDescription based upon print version of record. 311 $a1-322-60470-3 311 $a0-19-932587-1 320 $aIncludes bibliographical references and index. 327 $aCover; Explanation in Causal Inference; Copyright; Dedication; Contents; Preface; Part 1 Mediation Analysis; 1 Explanation and Mechanism; 1.1 Causal Inference and Explanation; 1.2 Forms of Explanation and Types of Mechanisms; 1.3 Motivations for Assessing Mediation, Interaction, and Interference; 1.4 Organization of this Book; 2 Mediation: Introduction and Regression-Based Approaches; 2.1 Classic Regression Approach to Mediation Analysis; 2.2 Counterfactual Approach to Mediation Analysis: Continuous Outcomes; 2.3 Assumptions about Confounding; 2.4 Binary and Count Outcomes 327 $a2.5 Binary Mediators2.6 Comparison of Approaches: Product-of-Coefficient and Difference Methods; 2.7 Description of the SAS Macro; 2.8 Description of the SPSS Macro; 2.9 Description of the Stata Macro; 2.10 Hypothetical Example with Output; 2.11 Empirical Example in Genetic Epidemiology; 2.12 When to Include an Exposure--Mediator Interaction; 2.13 Proportion Mediated; 2.14 Proportion Eliminated; 2.15 Study Design and Mediation Analysis; 2.16 Counterfactual Notation for Natural Direct and Indirect Effects; 2.17 An Alternative Regression-Based Estimation Approach Using Simulations 327 $a2.18 Code for the Simulation-Based Approach in R2.19 Discussion; 3 Sensitivity Analysis for Mediation; 3.1 Sensitivity Analysis for Unmeasured Confounding for Total Effects; 3.2 Sensitivity Analysis for Unmeasured Confounding for Controlled Direct Effects; 3.3 Sensitivity Analysis for Unmeasured Confounding for Natural Direct and Indirect Effects; 3.4 Sensitivity Analysis Using Two Trials; 3.5 Sensitivity Analysis for Direct and Indirect Effects in the Presence of Measurement Error; 3.6 Discussion; 4 Mediation Analysis with Survival Data 327 $a4.1 Earlier Literature on Mediation Analysis with Survival Models4.2 Mediation Analysis with an Accelerated Failure Time Model; 4.3 Mediation Analysis with a Proportional Hazards Model; 4.4 Mediation with an Additive Hazard Model; 4.5 A Weighting Approach to Direct and Indirect Effects with Survival Outcomes; 4.6 Sensitivity Analysis with Survival Data; 4.7 Discussion; 5 Multiple Mediators; 5.1 Regression-Based Approaches to Multiple Mediators; 5.2 A Weighting Approach to Multiple Mediators; 5.3 Controlled Direct Effects and Exposure-Induced Confounding 327 $a5.4 Effect Decomposition with Exposure-Induced Confounding5.5 Path-Specific Effects; 5.6 Sensitivity Analysis for Exposure-Induced Confounding; 5.7 Discussion; 6 Mediation Analysis with Time-Varying Exposures and Mediators; 6.1 Notation and Definitions; 6.2 Controlled Direct Effects with Time-Varying Exposures and Mediators; 6.3 Natural Direct and Indirect Effects and their Randomized Interventional Analogues with Time-Varying Exposures and Mediators; 6.4 Counterfactual Analysis of MacKinnon's Three-Wave Mediation Model; 6.5 Discussion; 7 Selected Topics in Mediation Analysis 327 $a7.1 Other Estimation Approaches 330 $aThe book provides an accessible but comprehensive overview of methods for mediation and interaction. There has been considerable and rapid methodological development on mediation and moderation/interaction analysis within the causal-inference literature over the last ten years. Much of this material appears in a variety of specialized journals, and some of the papers are quite technical. There has also been considerable interest in these developments from empirical researchers in the social and biomedical sciences. However, much of the material is not currently in a format that is accessible t 606 $aSocial sciences$xResearch 606 $aSocial sciences$xMethodology 606 $aCausation 608 $aElectronic books. 615 0$aSocial sciences$xResearch. 615 0$aSocial sciences$xMethodology. 615 0$aCausation. 676 $a001.4/22 700 $aVanderWeele$b Tyler$0955253 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910459790903321 996 $aExplanation in causal inference$92160830 997 $aUNINA