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Published on: September 20, 2019
Ethical clinical trial design and differences in treatment effects
Roger J Lewis1, Kert Viele1, Margareth Ndomondo-Sigonda2
1Berry Consultants, LLC, 3345 Bee Caves Rd, Suite 201, Austin, Texas78746, United States of America.
Global clinical trials can mislead if they assume one treatment effect fits all. Hierarchical modeling offers a solution, providing region-specific results and upholding justice in research for all populations.
Area of Science:
- Clinical Trials
- Biostatistics
- Health Equity
Background:
- Global clinical trials often estimate a single overall treatment effect.
- This approach can lead to misleading conclusions and ethical concerns, particularly regarding justice.
- Justice is compromised when research in low-resource settings primarily benefits high-resource settings.
Purpose of the Study:
- To propose a methodological strategy for global clinical trials to address ethical concerns related to justice.
- To enable the estimation of valid, population-specific treatment effects.
- To maintain analytical efficiency comparable to traditional pooled analyses.
Main Methods:
- Utilized a methodological strategy based on hierarchical modeling.
- Applied hierarchical modeling to estimate treatment effects for each participating population.
- Demonstrated the approach with a specific example.
Main Results:
- Hierarchical modeling enables the estimation of treatment effects valid for each participating population.
- The approach can retain efficiency comparable to traditional pooled analysis.
- Produces valid, region-specific results when substantial between-population differences exist.
Conclusions:
- Hierarchical modeling offers a strategy to ensure global clinical trials are designed ethically.
- This method helps preserve justice for all participant populations.
- Adoption into trial standards would support regulators, funders, and stakeholders in ensuring equitable research.
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