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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS, Paperback / softback Book

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

Part of the Chapman & Hall/CRC Biostatistics Series series

Paperback / softback

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 analysisMultivariate and Multiple third-variable effect analysisMultilevel mediation/confounding analysisThird-variable effect analysis with high-dimensional data Moderation/Interaction effect analysis within the third-variable analysisR packages and SAS macros to implement methods proposed in the book

Information

  • Format:Paperback / softback
  • Pages:294 pages, 18 Tables, black and white; 100 Line drawings, black and white; 100 Illustrations, black
  • Publisher:Taylor & Francis Ltd
  • Publication Date:
  • Category:
  • ISBN:9781032220086

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Information

  • Format:Paperback / softback
  • Pages:294 pages, 18 Tables, black and white; 100 Line drawings, black and white; 100 Illustrations, black
  • Publisher:Taylor & Francis Ltd
  • Publication Date:
  • Category:
  • ISBN:9781032220086