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博士後演講公告

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Statistical Considerations in New Drug Review Incorporating Bridging Issues

  • 2023-05-03 (Wed.), 14:00 PM
  • 統計所B1演講廳;茶 會:下午15:00。
  • 中文演講,實體與線上視訊同步進行。
  • Dr. Mey Wang ( 王 玫 博士 )
  • 資料科學統計合作社專家學者/財團法人醫藥品查驗中心資深統計審查員

Abstract

For a medicine to register in a new country, manufacturers are generally required to provide substantial evidence to support the efficacy in the claimed indication in accordance with local regulatory standards. Substantial evidence is usually interpreted as statistically significant results with family-wise type I error rate controlled at two sided 5% from at least two adequately designed phase III confirmatory trials.  Or, in special situations, a single pivotal phase III confirmatory trial with statistical evidence considerably stronger than p < 0.05. 
 
Recently, geographic variations of efficacy and safety of a medicine has attracted much attention from sponsors as well as regulatory authorities.  Taiwan formally announced the requirement of bridging study evaluation (BSE) on January 1, 2004.  The Bridging Study Evaluation is to assess whether the efficacy and safety data from the foreign clinical trial can be extrapolated to the patient population in Taiwan (or East-Asian), and to determine whether the recommended dosage is appropriate for the patients in Taiwan.
 
In this talk, I will briefly introduce the statistical considerations in reviewing a New Drug Application (NDA).  Additionally, I will discuss the statistical methodologies that are used to address bridging issues.  Two case examples will be presented as a demonstration. 

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最後更新日期:2023-04-28 13:49
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