Bayesian Mediation Analysis using R
Author: Atanu Bhattacharjee (Author)
Publisher finelybook 出版社: Chapman and Hall/CRC
Edition 版本: 1st
Publication Date 出版日期: 2024-07-04
Language 语言: English
Print Length 页数: 154 pages
ISBN-10: 1032287500
ISBN-13: 9781032287508
Book Description
Delve into the realm of statistical methodology for mediation analysis with a Bayesian perspective in high dimensional data through this comprehensive guide. Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten chapters, this book explores concepts of mediation analysis, survival analysis, accelerated failure time modeling, longitudinal data analysis, and competing risk modeling. Each chapter progressively unravels intricate topics, from the foundations of Bayesian approaches to advanced techniques like variable selection, bivariate survival models, and Dirichlet process priors.
With practical examples and step-by-step guidance, this book empowers readers to navigate the intricate landscape of high-dimensional data analysis, fostering a deep understanding of its applications and significance in diverse fields.
About the Author
Dr. Atanu Bhattacharjee is a medical statistician the University of Leicester. He is an expert in the field of medical statistics, with a focus on survival analysis, competing risks, and high-dimensional data.
Dr. Bhattacharjee’s research interests include the development of new statistical methods for the analysis of time-to-event data, with a focus on the analysis of competing risks and high-dimensional data. He has published several research papers and articles in leading statistical journals on these topics.
Dr. Bhattacharjee has also contributed to the development of R package, which can be used to perform competing risks analysis and high-dimensional data analysis respectively.
下载地址
相关推荐
Introduction to Statistical Computing and Visualization Using R- AI in Marketing: Applications, Insights, and Analysis
- GIS Tutorial for ArcGIS Pro 3.4, 6th Edition
- Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT
- Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications, 2nd Edition
- Artificial Intelligence for Healthcare: Machine Learning and Diagnostics
