CRC Press Statistical Methods for Mediation and Moderation - CRC Press

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.