Bayesian Mediation Analysis using R

1. Auflage 2024
ISBN: 978-1-032-28750-8
Verlag: Chapman and Hall/CRC

Buch, Englisch, 168 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 426 g

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.

Zielgruppe

Postgraduate, Professional, and Undergraduate Advanced

Autoren/Hrsg.

Bhattacharjee, Atanu

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Bayesianische Inferenz
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Mathematik Allgemein Zahlensysteme

Inhaltsverzeichnis

1. Mediation Analysis. 2. Bayesian Mediation Analysis. 3. Parametric Survival Analysis. 4. Competing Risk Modelling. 5. Accelerated Failure Time Modelling. 6. Longitudinal Modelling. 7. High Dimensional Data Analysis. 8. Bayesian Survival Mediation Data Analysis. 9. Bayesian Accelerated Failure Time Mediation Data Analysis. 10. Bayesian Competing Risk Mediation Data Analysis.

Über Autor(innen)

Dr. Atanu Bhattacharjee serves as an Academic Statistician at the University of Dundee, Scotland, specializing in medical statistics. His expertise encompasses survival analysis, competing risks, and high-dimensional data analysis. Dr. Bhattacharjee’s research revolves around advancing statistical methodologies for analyzing time-to-event data, particularly emphasizing competing risks and high-dimensional data. His contributions are evident through numerous publications in esteemed statistical journals. Additionally, Dr. Bhattacharjee has played a pivotal role in developing an R package tailored for conducting competing risks analysis and high dimensional data analysis.