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CRC Press Statistical Methods for Mediation and Moderation - CRC Press

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Description

Modern researchers face constant challenges when trying to differentiate between the indirect effects of individual factors from multiple third-variables. This text, part of the Chapman & Hall/CRC Biostatistics Series, provides a solution for understanding third-variable effects. These effects occur when a third-variable intervenes in the relationship between an exposure and a response variable. This book introduces general definitions of third-variable effects that are adaptable to various research scenarios. Whether you are working with categorical or continuous response variables, exposure types, or third-variables, these methods provide a framework for your analysis. By using these statistical methods, researchers can better manage multiple third-variables in their studies. This resource is designed to help you navigate the complexities of mediation, confounding, and moderation analysis using R and SAS software.

Key Features

Provides general definitions of third-variable effects that work for both categorical and continuous response variables.

Offers adaptable methods for different types of exposure and third-variable data in research settings.

Helps researchers differentiate the indirect effects of individual factors from multiple third-variables.

Includes practical applications for conducting mediation, confounding, and moderation analysis.

Designed for use with R and SAS to assist in complex statistical modeling and data analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 March 2022
Listed Since
21 September 2021

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