Название: Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
Автор: Qingzhao Yu, Bin Li
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 294
Размер: 10 Mb
Язык: English

Third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Differentiating between the indirect effect of individual factors from multiple third-variables is a constant problem for modern researchers.
Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Using this method, multiple third- variables of different types can be considered simultaneously, and the indirect effect carried by individual third-variables can be separated from the total effect. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis.