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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS - Couverture rigide
Synopsis
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 « 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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)
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Chapman and Hall/CRC 2022-03-21, 2022
ISBN 10 : 0367365472
ISBN 13 : 9780367365479
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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Qingzhao Yu is Professor in Biostatistics, Louisiana State University Health Sciences Center.Bin Li is Associate Professor in Statistics, Louisiana State University.Third-variable effect refers to the effect transmitted by third-var. N° de réf. du vendeur 516872597
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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
Edité par
Chapman And Hall/CRC Mär 2022, 2022
ISBN 10 : 0367365472
ISBN 13 : 9780367365479
Neuf
Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 294 pp. Englisch. N° de réf. du vendeur 9780367365479
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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
Edité par
Chapman and Hall/CRC, 2022
ISBN 10 : 0367365472
ISBN 13 : 9780367365479
Neuf
Couverture rigide
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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)
Edité par
Chapman and Hall/CRC, 2022
ISBN 10 : 0367365472
ISBN 13 : 9780367365479
Neuf
Couverture rigide
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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)
Edité par
Chapman and Hall/CRC, 2022
ISBN 10 : 0367365472
ISBN 13 : 9780367365479
Neuf
Couverture rigide
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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)
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Chapman and Hall/CRC, 2022
ISBN 10 : 0367365472
ISBN 13 : 9780367365479
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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)
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Chapman and Hall/CRC, 2022
ISBN 10 : 0367365472
ISBN 13 : 9780367365479
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Couverture rigide
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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)
Edité par
Chapman and Hall/CRC, 2022
ISBN 10 : 0367365472
ISBN 13 : 9780367365479
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Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
Edité par
Chapman And Hall/CRC, 2022
ISBN 10 : 0367365472
ISBN 13 : 9780367365479
Neuf
Couverture rigide
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9780367365479
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