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Application of estimand framework in ICH E9 (R1) to vaccine trials
Rong Fu1, Hal Li2, Xuelong Wang2
1BARDS, MSD, Beijing, USA.
This study applies the estimand framework to vaccine trials, clarifying clinical questions on efficacy, immunogenicity, and safety for better risk assessment in healthy populations.
Area of Science:
- Vaccinology
- Clinical Trial Design
- Biostatistics
Background:
- Traditional vaccine evaluation prioritizes efficacy and immunogenicity.
- Vaccine safety is critical due to widespread use in healthy populations.
- Existing frameworks may not fully address nuanced clinical questions.
Purpose of the Study:
- To apply the International Council for Harmonisation E9 (R1) estimand framework to vaccine clinical trials.
- To clarify clinical questions related to vaccine efficacy, immunogenicity, and safety.
- To enhance risk assessment for vaccine development and deployment.
Main Methods:
- Utilized the ICH E9 (R1) estimand framework.
- Applied the framework to common clinical questions in vaccine trials.
- Focused on efficacy, immunogenicity, and safety endpoints.
Main Results:
- Demonstrated the framework's utility in defining estimands for vaccine trials.
- Provided a structured approach to address complex clinical questions.
- Facilitated clearer communication of treatment effects.
Conclusions:
- The estimand framework offers a robust approach for vaccine trial design and analysis.
- Improved clarity in defining clinical questions enhances vaccine safety and efficacy evaluation.
- This methodology supports better risk-benefit assessments for vaccines.
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