Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS

Name: Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
SKU: 38755808
Price: 149.99 AUD
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Paperback / softback

Series:

Chapman & Hall/CRC Biostatistics Series

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Description

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

Author Biography:

Qingzhao Yu is Professor in Biostatistics, Louisiana State University Health Sciences Center. Bin Li is Associate Professor in Statistics, Louisiana State University.

Release date Australia

April 19th, 2024

Author

Audiences

Professional & Vocational
Tertiary Education (US: College)

Illustrations

18 Tables, black and white; 100 Line drawings, black and white; 100 Illustrations, black and white

Pages

294

Series

Chapman & Hall/CRC Biostatistics Series

ISBN-13

9781032220086

Product ID

38755808

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