Bayesian Mediation Analysis using R

Atanu Bhattacharjee

ISBN 10: 1032287500 / ISBN 13: 9781032287508

Published by Chapman and Hall/CRC, 2024

About this Item

Bayesian Mediation Analysis using R | Atanu Bhattacharjee | Buch | Englisch | 2024 | Chapman and Hall/CRC | EAN 9781032287508 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 128735476

Bibliographic Details

• Title: Bayesian Mediation Analysis using R
• Publisher: Chapman and Hall/CRC
• Publication Date: 2024
• Language: English
• ISBN 10: 1032287500
• ISBN 13: 9781032287508
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 14D millimeters 240 millimeters width by 161 millimeters height by 14 millimeters depth
• Weight: 426 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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 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.