Innovative Methods for Rare Disease Drug Development
暫譯: 罕見疾病藥物開發的創新方法

Chow, Shein-Chung

  • 出版商: CRC
  • 出版日期: 2020-11-12
  • 售價: $5,550
  • 貴賓價: 9.5$5,273
  • 語言: 英文
  • 頁數: 306
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367502100
  • ISBN-13: 9780367502102
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

In the United States, a rare disease is defined by the Orphan Drug Act as a disorder or condition that affects fewer than 200,000 persons. For the approval of "orphan" drug products for rare diseases, the traditional approach of power analysis for sample size calculation is not feasible because there are only limited number of subjects available for clinical trials. In this case, innovative approaches are needed for providing substantial evidence meeting the same standards for statistical assurance as drugs used to treat common conditions. Innovative Methods for Rare Disease Drug Development focuses on biostatistical applications in terms of design and analysis in pharmaceutical research and development from both regulatory and scientific (statistical) perspectives.

Key Features:

  • Reviews critical issues (e.g., endpoint/margin selection, sample size requirements, and complex innovative design).
  • Provides better understanding of statistical concepts and methods which may be used in regulatory review and approval.
  • Clarifies controversial statistical issues in regulatory review and approval accurately and reliably.
  • Makes recommendations to evaluate rare diseases regulatory submissions.
  • Proposes innovative study designs and statistical methods for rare diseases drug development, including n-of-1 trial design, adaptive trial design, and master protocols like platform trials.
  • Provides insight regarding current regulatory guidance on rare diseases drug development like gene therapy.

商品描述(中文翻譯)

在美國,根據《孤兒藥物法》(Orphan Drug Act),罕見疾病被定義為影響少於200,000人的疾病或狀況。由於臨床試驗中可用的受試者數量有限,傳統的樣本大小計算的功效分析方法對於罕見疾病的「孤兒」藥物產品的批准並不可行。在這種情況下,需要創新的方法來提供實質證據,以滿足與用於治療常見疾病的藥物相同的統計保證標準。《罕見疾病藥物開發的創新方法》專注於生物統計學在藥品研究和開發中的應用,從監管和科學(統計)兩個角度進行設計和分析。

主要特點:
- 回顧關鍵問題(例如,終點/邊際選擇、樣本大小要求和複雜的創新設計)。
- 提供對於可能在監管審查和批准中使用的統計概念和方法的更好理解。
- 準確可靠地澄清監管審查和批准中的爭議性統計問題。
- 提出評估罕見疾病監管提交的建議。
- 提出針對罕見疾病藥物開發的創新研究設計和統計方法,包括n-of-1試驗設計、自適應試驗設計和主協議(如平台試驗)。
- 提供有關當前罕見疾病藥物開發的監管指導的見解,例如基因治療。

作者簡介

Shein-Chung Chow, Ph.D. is currently a Professor at Duke University School of Medicine, Durham, NC. He was previously the Associate Director at the Office of Biostatistics, Center for Drug Evaluation and Research, United States Food and Drug Administration (FDA). Dr. Chow has also held various positions in the pharmaceutical industry such as Vice President at Millennium, Cambridge, MA, Executive Director at Covance, Princeton, NJ, and Director and Department Head at Bristol-Myers Squibb, Plainsboro, NJ. He was elected Fellow of the American Statistical Association and an elected member of the ISI (International Statistical Institute). Dr. Chow is Editor-in-Chief of the Journal of Biopharmaceutical Statistics and Biostatistics Book Series, Chapman and Hall/CRC Press, Taylor & Francis, New York. Dr. Chow is the author or co-author of over 300 methodology papers and 30 books.

作者簡介(中文翻譯)

周賢忠博士目前是杜克大學醫學院的教授,位於北卡羅來納州達勒姆。他曾擔任美國食品藥品監督管理局(FDA)藥物評估與研究中心生物統計辦公室的副主任。周博士在製藥業也擔任過多個職位,包括麻薩諸塞州劍橋的Millennium副總裁、新澤西州普林斯頓的Covance執行董事,以及新澤西州普蘭斯伯勒的Bristol-Myers Squibb的主任和部門主管。他被選為美國統計協會的會士,並且是國際統計學會(ISI)的當選成員。周博士是《生物製藥統計期刊》和Chapman and Hall/CRC Press、Taylor & Francis出版的生物統計書系列的主編。他是300多篇方法論論文和30本書籍的作者或合著者。