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Provides a comprehensive coverage of Bayesian application across the pharmaceutical development from discovery to post-marketing to manufacturing
Provides motivating, worked, practical case examples with easy to grasp models, technical details and computational codes to run the analyses Balances practical examples with guidance on best practices and regulatory perspectives Will appeal to statisticians, scientists, and physicians working in the pharmaceutical industry and regulatory agencies Covers broad Bayesian topics on designs, analyses, and reporting
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Provides a comprehensive coverage of Bayesian application across the pharmaceutical development from discovery to post-marketing to manufacturing
Provides motivating, worked, practical case examples with easy to grasp models, technical details and computational codes to run the analyses Balances practical examples with guidance on best practices and regulatory perspectives Will appeal to statisticians, scientists, and physicians working in the pharmaceutical industry and regulatory agencies Covers broad Bayesian topics on designs, analyses, and reporting