Bayesian Thinking in Biostatistics

This modern Bayesian book is a must-have textbook or reference volume for biostatistics, covering methodology, applications, computing methods, model assessment, robustness, data-analytic approaches, and predictive assessments. It includes extensive problem sets and professional advice, making it ideal for an intermediate-level course.

Format: Hardback
Length: 601 pages
Publication date: 16 March 2021
Publisher: Taylor & Francis Ltd

This comprehensive and up-to-date Bayesian book is a valuable resource for both textbooks and reference volumes. Written by Rosner, Laud, and Johnson, the book advocates for Bayesian approaches by seamlessly blending clear methodology explanations with in-depth discussions of diverse and enlightening applications. These applications are brought to life through comprehensive coverage of computing methods, along with the provision of code. The authors' focus on model assessment, robustness, data-analytic approaches, and predictive assessments is crucial for valid practice. The numerous exercises and professional advice make this book an ideal text for an intermediate-level course, providing students with a solid foundation in Bayesian biostatistics.

The book covers all the essential topics typically covered in a beginning graduate-level class on Bayesian biostatistics. The meticulous introduction of the Bayesian viewpoint and the mechanics of implementing Bayesian inference in the early chapters make it a complete self-contained introduction to Bayesian inference for biomedical problems.

Another notable feature of this book for use as a textbook is the inclusion of extensive problem sets. These problem sets go beyond simple and contrived problems, providing real-world examples and case studies. The exercises not only serve as problems but also offer valuable insights into applying Bayesian methodologies to real-world data.

Bayesian Thinking in Biostatistics emphasizes greater collaboration between biostatisticians and biomedical researchers. The book provides an overview of Bayesian statistics, discusses various methods commonly used by biostatisticians, and highlights the importance of integrating Bayesian approaches into biomedical research.

In conclusion, this thoroughly modern Bayesian book is a must-have for anyone interested in biostatistics. Written by experts in the field, it offers clear explanations, practical applications, and comprehensive coverage of key topics. Whether used as a textbook or a reference volume, Bayesian Thinking in Biostatistics is an invaluable resource for students, researchers, and practitioners in the field.

Weight: 1312g
Dimension: 186 x 261 x 40 (mm)
ISBN-13: 9781439800089