Bin Li & Qingzhao Yu 
Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS [EPUB ebook] 

Ủng hộ

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.Key Features: Parametric and nonparametric method in third variable analysis Multivariate and Multiple third-variable effect analysis Multilevel mediation/confounding analysis Third-variable effect analysis with high-dimensional data Moderation/Interaction effect analysis within the third-variable analysis R packages and SAS macros to implement methods proposed in the book

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Ngôn ngữ Anh ● định dạng EPUB ● Trang 294 ● ISBN 9781000549485 ● Nhà xuất bản CRC Press ● Được phát hành 2022 ● Có thể tải xuống 3 lần ● Tiền tệ EUR ● TÔI 8286960 ● Sao chép bảo vệ Adobe DRM
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