Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
Author:   Qingzhao Yu ,  Bin Li (Louisiana State University, LA, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367365479


Pages:   294
Publication Date:   21 March 2022
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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


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Full Product Details

Author:   Qingzhao Yu ,  Bin Li (Louisiana State University, LA, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.453kg
ISBN:  

9780367365479


ISBN 10:   0367365472
Pages:   294
Publication Date:   21 March 2022
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Introduction 2 A Review of Third-Variable Effect Inferences 3 Advanced Statistical Modeling and Machine Learning Methods Used in the Book 4 The General Third-Variable Effect Analysis Method 5 The Implementation of General Third-Variable Effect Analysis Method 6 Assumptions for the General Third-Variable Analysis 7 Multiple Exposures and Multivariate Responses 8 Regularized Third-Variable Effect Analysis for High-Dimensional Dataset 9 Interaction/Moderation Analysis with Third-Variable Effects 10 Third-Variable Effect Analysis with Multilevel Additive Models 11 Bayesian Third-Variable Effect Analysis 12 Other Issues

Reviews

"""I believe that this book is very handy for not only professionals or early career professionals but also graduate students, and those wanting to be up to speed on the latest techniques for analysis of the effect of the third variable. I will recommend this book without any reservation to individuals in research that frequently see the complications associated with the interpretation of the third variable."" Reuben Adatorwovor, College of Public health University of Kentucky, USA, ISCB, April 2023"


""I believe that this book is very handy for not only professionals or early career professionals but also graduate students, and those wanting to be up to speed on the latest techniques for analysis of the effect of the third variable. I will recommend this book without any reservation to individuals in research that frequently see the complications associated with the interpretation of the third variable."" Reuben Adatorwovor, College of Public health University of Kentucky, USA, ISCB, April 2023


Author Information

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

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