Advanced Statistical Analytics for Health Data Science with SAS and R
Author:   Ding-Geng (Din) Chen (University of North Carolina, USA) ,  Jeffrey Wilson
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032978499


Pages:   248
Publication Date:   16 September 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
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Advanced Statistical Analytics for Health Data Science with SAS and R


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Full Product Details

Author:   Ding-Geng (Din) Chen (University of North Carolina, USA) ,  Jeffrey Wilson
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.650kg
ISBN:  

9781032978499


ISBN 10:   103297849
Pages:   248
Publication Date:   16 September 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

12. Marginal Models for Binary Longitudinal Outcomes with Time-Dependent Covariates. 13. Multiple Models for Binary Longitudinal Mixed-Model Effects. 14. Statistical Modeling of Survival Data Statistical. 15. Statistical Modeling with Bayesian Paradigm. 16. Jointly Modeling to Analyze Longitudinal and Survival Data with Bayesian Approach. 17. Nonlinear Regression. 18. Statistical Meta-Analysis. 19. Spatial Statistical Analysis. 20. Structural Equation Modeling. 21. Longitudinal Data Analysis and Latent Growth Curve Modelling. 22. Latent Growth Mixture Joint Modeling in Intervention Research. 23. Causal Inference and Propensity Score Analysis.

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Author Information

Dr Ding-Geng Chen is an elected fellow of the American Statistical Association and an elected member of the International Statistical Institute. Currently he is the executive director and professor in biostatistics at the College of Health Solutions, Arizona State University. Dr. Chen has more than 250 referred professional publications and co-authored and co-edited 42 books on clinical trial methodology, meta-analysis, data science, causal inference, and public health statistics. Dr. Jeffrey Wilson is a Professor of Statistics and Biostatistics and serves as the Associate Dean of Research and Inclusive Excellence. His research focuses on statistical analysis of binary correlated data, and he has authored numerous peer-reviewed articles in the field. He has received several prestigious honors, including the 2024 Dr. Martin Luther King Jr. Faculty.

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