Description

Book Synopsis

Statistical methods that are commonly used in the review and approval process of regulatory submissions are usually referred to as statistics in regulatory science or regulatory statistics. In a broader sense, statistics in regulatory science can be defined as valid statistics that are employed in the review and approval process of regulatory submissions of pharmaceutical products. In addition, statistics in regulatory science are involved with the development of regulatory policy, guidance, and regulatory critical clinical initiatives related research. This book is devoted to the discussion of statistics in regulatory science for pharmaceutical development. It covers practical issues that are commonly encountered in regulatory science of pharmaceutical research and development including topics related to research activities, review of regulatory submissions, recent critical clinical initiatives, and policy/guidance development in regulatory science.

  • Devoted en

    Table of Contents

    1. Introduction. 2. Totality-of-the-Evidence. 3. Hypotheses Testing Versus Confidence Interval. 4. Endpoint Selection. 5. Non-inferiority Margin. 6. Missing Data. 7. Multiplicity. 8. Sample Size. 9. Reproducible Research. 10. Extrapolation. 11. Consistency Evaluation. 12. Drug Products with Multiple Components. 13. Adaptive Trial Design. 14. Selection Criteria in Adaptive Dose Finding. 15. Generic Drugs and Biosimilars. 16. Precision and Personalized Medicine. 17. Big Data Analytics. 18. Rare Disease Drug Development.

Innovative Statistics in Regulatory Science

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A Hardback by Shein-Chung Chow

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    View other formats and editions of Innovative Statistics in Regulatory Science by Shein-Chung Chow

    Publisher: CRC Press
    Publication Date: 11/7/2019 12:00:00 AM
    ISBN13: 9780367224769, 978-0367224769
    ISBN10: 0367224763

    Description

    Book Synopsis

    Statistical methods that are commonly used in the review and approval process of regulatory submissions are usually referred to as statistics in regulatory science or regulatory statistics. In a broader sense, statistics in regulatory science can be defined as valid statistics that are employed in the review and approval process of regulatory submissions of pharmaceutical products. In addition, statistics in regulatory science are involved with the development of regulatory policy, guidance, and regulatory critical clinical initiatives related research. This book is devoted to the discussion of statistics in regulatory science for pharmaceutical development. It covers practical issues that are commonly encountered in regulatory science of pharmaceutical research and development including topics related to research activities, review of regulatory submissions, recent critical clinical initiatives, and policy/guidance development in regulatory science.

    • Devoted en

      Table of Contents

      1. Introduction. 2. Totality-of-the-Evidence. 3. Hypotheses Testing Versus Confidence Interval. 4. Endpoint Selection. 5. Non-inferiority Margin. 6. Missing Data. 7. Multiplicity. 8. Sample Size. 9. Reproducible Research. 10. Extrapolation. 11. Consistency Evaluation. 12. Drug Products with Multiple Components. 13. Adaptive Trial Design. 14. Selection Criteria in Adaptive Dose Finding. 15. Generic Drugs and Biosimilars. 16. Precision and Personalized Medicine. 17. Big Data Analytics. 18. Rare Disease Drug Development.

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