Articles liés à Statistical Methods for Mediation, Confounding and...

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

Livre 132 sur 155: Chapman & Hall/CRC Biostatistics

Yu, Qingzhao; Li, Bin

 
9780367365479: Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
Couverture rigide
ISBN 10 : 0367365472 ISBN 13 : 9780367365479
Editeur : Chapman and Hall/CRC, 2022

Synopsis

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

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Qingzhao Yu is Professor in Biostatistics, Louisiana State University Health Sciences Center.

Bin Li is Associate Professor in Statistics, Louisiana State University.

À propos de la quatrième de couverture

This book introduces general definitions of third-variable effects that are adaptable to all different types of response (categorical or continuous), exposure, or third-variables. Readers of all disciplines familiar with introductory statistics will find this a valuable resource for analysis.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Chapman and Hall/CRC
Date d'édition
2022
Langue
anglais
ISBN 10 
0367365472
ISBN 13 
9780367365479
Reliure
Relié
Nombre de pages
277
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

Europaallee 1
Bad Hersfeld
36244
Allemagne