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Adopting the estimand framework in prophylactic vaccine trials
Francois Beckers1, Naveen Karkada2, Ye Yang3
1Sanofi, Marcy-l'Étoile, France.
This review applies the estimand framework to preventive vaccine trials, addressing unique challenges like the biological effect. It guides handling intercurrent events for accurate clinical outcome and immunogenicity assessments.
Area of Science:
- Clinical trial methodology
- Vaccinology
- Biostatistics
Background:
- The ICH E9(R1) estimand framework is established for therapeutic trials.
- Preventive vaccine trials have unique characteristics, notably the focus on biological effect.
- Limited guidance exists for applying the estimand framework to vaccine trials.
Purpose of the Study:
- To comprehensively review the application of the estimand framework in preventive vaccine trials.
- To address challenges in defining and handling intercurrent events specific to vaccine studies.
- To provide practical guidance for protocol development and statistical analysis plans.
Main Methods:
- Review of the ICH E9(R1) estimand framework.
- Application of the framework to vaccine trial scenarios.
- Discussion of intercurrent events: noncompliance, infection, death, prohibited products.
- Considerations for strategy selection to address scientific questions.
Main Results:
- The framework can be adapted for vaccine trials evaluating clinical and immunogenicity endpoints.
- Specific strategies for handling intercurrent events are discussed.
- Guidance is provided on summarizing estimands and data handling.
Conclusions:
- The estimand framework offers a robust approach for vaccine trial design and analysis.
- Careful consideration of intercurrent events is crucial for interpretable vaccine trial results.
- This work provides a foundation for consistent application of the estimand framework in vaccine research.
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