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CRC Press Bayesian Approaches in Oncology Using R and OpenBUGS - CRC Press

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Description

Bayesian Approaches in Oncology Using R and OpenBUGS by CRC Press is a comprehensive guide designed for two key audiences: practitioners already familiar with Bayesian theory who want to develop or improve their R and OpenBUGS skills, and students enrolled in courses covering Bayesian implementation. The book begins with a self-contained introduction to R that provides the foundation needed for subsequent chapters, making it accessible even to those new to these programming environments. Unlike many advanced theoretical texts on Bayesian approaches and statistical analysis, this resource bridges the gap between theory and practical application, offering hands-on guidance for implementing Bayesian methods in oncology research. Whether you're seeking to enhance your analytical capabilities or establish a solid understanding of Bayesian techniques in medical contexts, this CRC Press publication provides structured, practical learning that connects statistical concepts directly to real-world oncology applications.

Key Features

Bayesian Approaches in Oncology uses R and OpenBUGS to teach practical implementation across two learning pathways for both experienced and novice users.

The CRC Press guide includes a self-contained introduction to R programming that establishes essential skills for readers without prior experience.

Covers Bayesian method applications specifically within oncology and medical research contexts with focus on practical rather than purely theoretical content.

Designed for course use and self-study, serving students and professionals implementing Bayesian statistical techniques in healthcare settings.

Product Specifications

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

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