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CRC Press Bayesian Approaches in Oncology Using R and OpenBUGS

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Description

Bayesian Approaches in Oncology Using R and OpenBUGS provides a practical guide for medical researchers and statisticians. This resource is designed for two specific groups: those who already understand Bayesian theory and want to improve their technical skills in R and OpenBUGS, and students currently enrolled in courses focused on implementing these statistical methods. If you are new to these tools, the book offers a helpful starting point with a self-contained introduction to R. This foundational section prepares you for the more advanced chapters. Unlike many other statistical texts that focus heavily on complex theory, this book provides a clear path toward practical application in oncology research. It bridges the gap between advanced statistical concepts and the actual implementation required for modern medical data analysis.

Key Features

Includes a self-contained introduction to R for readers who have never used the software before.

Designed for both advanced practitioners looking to enhance skills and students in specialized courses.

Focuses on practical implementation of Bayesian approaches within the field of oncology.

Provides specific guidance on using R and OpenBUGS for statistical analysis.

Offers a foundation for moving from basic software usage to advanced statistical applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 December 2020
Listed Since
15 August 2020

Barcode

No barcode data available

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