Verfasst von:	VanderWeele, Tyler J. [VerfasserIn]
Titel:	Explanation in causal inference
Titelzusatz:	methods for mediation and interaction
Verf.angabe:	Tyler J. VanderWeele
Verlagsort:	Oxfordf ; New York, NY
Verlag:	Oxford University Press
E-Jahr:	2015
Jahr:	[2015]
Umfang:	xvi, 706 Seiten
Illustrationen:	Illustrationen
Format:	25 cm
Fussnoten:	Literaturverzeichnis: Seite [641]-668, Register
Ang. zum Inhalt:	Mediation Analysis
	Explanation and Mechanism
	Mediation : Introduction and Regression-Based Approaches
	Sensitivity Analysis for Mediation
	Mediation Analysis with Survival Data
	Multiple Mediators
	Mediation Analysis with Time-Varying Exposures and Mediators
	Selected Topics in Mediation Analysis
	Other Topics Related to Intermediates
	Interaction Analysis
	An Introduction to Interaction Analysis
	Mechanistic Interaction
	Bias Analysis for Interactions
	Interaction in Genetics : Independence and Boosting Power
	Power and Sample-Size Calculations for Interaction Analysis
	Synthesis and Spillover Effects
	A Unification of Mediation and Interaction
	Social Interactions and Spillover Effects
	Mediation and Interaction : Future and Context
ISBN:	978-0-19-932587-0
	0-19-932587-1
Abstract:	The 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 to them. The book closes these gaps by providing an accessible, comprehensive, book-length coverage of mediation. The book begins with a comprehensive introduction to mediation analysis, including chapters on concepts for mediation, regression-based methods, sensitivity analysis, time-to-event outcomes, methods for multiple mediators, methods for time-varying mediation and longitudinal data, and relations between mediation and other concepts involving intermediates such as surrogates, principal stratification, instrumental variables, and Mendelian randomization. The second part of the book concerns interaction or "moderation," including concepts for interaction, statistical interaction, confounding and interaction, mechanistic interaction, bias analysis for interaction, interaction in genetic studies, and power and sample-size calculation for interaction. The final part of the book provides comprehensive discussion about the relationships between mediation and interaction and unites these concepts within a single framework. This final part also provides an introduction to spillover effects or social interaction, concluding with a discussion of social-network analyses. The book is written to be accessible to anyone with a basic knowledge of statistics. Comprehensive appendices provide more technical details for the interested reader. Applied empirical examples from a variety of fields are given throughout. Software implementation in SAS, Stata, SPSS, and R is provided. The book should be accessible to students and researchers who have completed a first-year graduate sequence in quantitative methods in one of the social- or biomedical-sciences disciplines. The book will only presuppose familiarity with linear and logistic regression, and could potentially be used as an advanced undergraduate book as well.
Schlagwörter:	(s)Sozialwissenschaften    / (s)Quantitative Methode
	(s)Sozialwissenschaften    / (s)Quantitative Methode
	(s)Wissenschaft    / (s)Methode    / (s)Statistik    / (s)Regressionsanalyse
Sprache:	eng
RVK-Notation:	CM 4000
	QC 010
	SK 830
	MR 2100
K10plus-PPN:	1614281084