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Adaptive designs for IVPT data with mixed scaled average bioequivalence.
Daeyoung Lim1, Elena Rantou2, Jessica Kim2
1University of Connecticut, Storrs, Connecticut, USA.
This study introduces adaptive designs for in vitro permeation tests (IVPT) to improve bioequivalence assessments for topical drugs. These adaptive methods, combining group sequential design and sample size re-estimation with mixed scaled average bioequivalence, enhance efficiency and power.
Area of Science:
- Pharmacokinetics and Drug Delivery
- Biostatistics
- Dermatological Drug Development
Background:
- In vitro permeation tests (IVPT) are crucial for developing topical dermatological products.
- The FDA proposes a new experimental design for assessing bioequivalence of generic acyclovir 5% cream using IVPT.
- Mixed scaled average bioequivalence (MSABE) is the hypothesis testing method for this design.
Purpose of the Study:
- To examine the statistical properties of the MSABE method for IVPT bioequivalence studies.
- To develop and evaluate adaptive designs incorporating MSABE for enhanced efficiency and power.
- To explore modifications for adaptive designs in IVPT bioequivalence trials.
Main Methods:
- Incorporation of MSABE into an adaptive design combining group sequential design and sample size re-estimation.
- Conducting simulation studies to assess passing rates of proposed adaptive methods.
- Considering modifications such as Bonferroni's adjustment and conditional power function.
Main Results:
- Simulation studies evaluated the performance of adaptive designs under various scenarios.
- The proposed adaptive designs demonstrated potential for earlier decisions and resource savings.
- Modifications like Bonferroni's adjustment and conditional power were considered for improved control.
Conclusions:
- Adaptive designs integrating MSABE offer a promising approach for efficient IVPT bioequivalence trials.
- These methods can optimize resource allocation while maintaining statistical rigor.
- A case study confirmed the practical advantages of adaptive methods in real-world data analysis.
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