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Explanation in Causal Inference: Methods for Mediation and Interaction Pdf

Download Explanation in Causal Inference: Methods for Mediation and Interaction Pdf
Book Description:

The book presents an accessible nevertheless full overview of methods for mediation and interaction. There was considerable and speedy methodological enchancment on mediation and moderation/interaction analysis contained in the causal-inference literature over the past ten years. Lots of this supplies appears in various specialised journals, and quite a lot of the papers are pretty technical. There has moreover been considerable curiosity in these developments from empirical researchers in the social and biomedical sciences. However, a whole lot of the material simply is not at current in a format that is accessible to them. The book closes these gaps by providing an accessible, full, book-measurement protection of mediation.
The book begins with an entire introduction to mediation analysis, along with chapters on concepts for mediation, regression-based methods, sensitivity analysis, time-to-event outcomes, methods for a variety of mediators, methods for time-numerous mediation and longitudinal data, and relations between mediation and totally different concepts involving intermediates just like surrogates, principal stratification, instrumental variables, and Mendelian randomization. The second part of the book issues interaction or "moderation," along with concepts for interaction, statistical interaction, confounding and interaction, mechanistic interaction, bias analysis for interaction, interaction in genetic analysis, and power and sample-measurement calculation for interaction. The last word part of the book provides full dialogue in regards to the relationships between mediation and interaction and unites these concepts inside a single framework. This remaining half moreover provides an introduction to spillover outcomes or social interaction, concluding with a dialogue of social-group analyses.
The book is written to be accessible to anyone with a main info of statistics. Full appendices current additional technical particulars for the reader. Utilized empirical examples from various fields are given all by means of. Software program program implementation in SAS, Stata, SPSS, and R is obtainable. The book have to be accessible to school college students and researchers who’ve completed a main-yr graduate sequence in quantitative methods in one among many social- or biomedical-sciences disciplines. The book will solely presuppose familiarity with linear and logistic regression, and may in all probability be used as a sophisticated undergraduate book as correctly.

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