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. The book will only presuppose familiarity with linear and logistic regression, and could potentially be used as an advanced undergraduate book as well.

The Handbook of Religion and Health has become the seminal research text on religion, spirituality, and health, outlining a rational argument for the connection between religion and health. For the past two decades, this handbook has been the most cited of all references on religion and health. This Third Edition is the most scientifically rigorous edition to date, covering the best research published through 2021 with an emphasis on prospective studies and randomized controlled trials. This volume examines research on the relationship between religion and health outcomes, surveys the historical connections between religion and health, and discusses the distinction between the terms ''religion'' and ''spirituality'' in research and clinical practice. It reviews research on religion and mental health, literature on the mind-body relationship, and develops a model to explain how religious involvement may impact physical health through the mind-body mechanisms. It also explores the direct relationships between religion and physical health, covering such topics as immune and endocrine function, heart disease, hypertension and stroke, neurological disorders, cancer, and infectious diseases; and examines the consequences of illness including chronic pain, disability, and quality of life. Additionally, most of its 34 chapters conclude with clinical and community applications making this text relevant to both health care professionals and clergy. This book is the most insightful and authoritative resource available to anyone who wants to understand the relationship between religion and health.