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A group sequential approach to evaluation of bridging studies
Chin-Fu Hsiao1, Jia-Zhen Xu, Jen-Pei Liu
1Division of Biostatistics and Bioinformatics, National Health Research Institutes, Taipei, Taiwan.
Journal of Biopharmaceutical Statistics
|October 31, 2003
Summary
Bridging studies in new regions can now use a group sequential approach for data analysis. This method enhances the extrapolation of foreign clinical trial data, improving drug development globally.
Area of Science:
- Clinical Pharmacology
- Biostatistics
- Drug Development
Background:
- International Conference on Harmonization (ICH) E5 guideline defines bridging studies for extrapolating foreign clinical data.
- Bridging studies are typically conducted post-marketing approval in the original region.
- Analyzing bridging study data is challenging due to missing concurrent efficacy and safety data from the original region.
Purpose of the Study:
- To propose a group sequential approach for analyzing clinical data from bridging studies.
- To address the internal validity issues in extrapolating foreign clinical data to new regions.
- To present methods for sample size determination in new region bridging studies.
Main Methods:
- A group sequential design is proposed, using the region as a sequential group.
- Patients are enrolled sequentially: first from the original region, then from the new region.
- Methods for sample size calculation specific to bridging studies in the new region are developed.
Main Results:
- The proposed group sequential approach allows for the incorporation of data from the original region.
- This method enhances the ability to evaluate the similarity of foreign clinical data for extrapolation.
- Sample size determination methods are provided for bridging studies.
Conclusions:
- The group sequential approach offers a robust statistical framework for bridging study data analysis.
- This methodology facilitates more reliable extrapolation of foreign clinical data, supporting global drug registration.
- The proposed methods contribute to efficient and valid drug development across different regions.