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Discounting phase 2 results when planning phase 3 clinical trials
S Kirby1, J Burke, C Chuang-Stein
1Pfizer Limited, Ramsgate Road, Sandwich, UK, CT13 9NJ. simon.kirby@pfizer.com
Improving phase 3 trial sample size planning involves adjusting phase 2 data to mitigate bias. This research uses assurance and bias-adjusted estimates for more reliable clinical trial design.
Area of Science:
- Clinical Trial Design
- Biostatistics
- Pharmaceutical Development
Background:
- Sample size planning is critical for phase 3 clinical trials.
- Phase 2 trial data is often used for phase 3 sample size planning.
- Bias can arise from selecting favorable phase 2 results and population heterogeneity.
Purpose of the Study:
- To enhance phase 3 trial sample size planning using phase 2 data.
- To investigate bias adjustment methods for phase 2 treatment effect estimates.
- To evaluate 'launch criteria' for progressing development to phase 3.
Main Methods:
- Utilized an approach based on the concept of assurance.
- Adjusted (discounted) phase 2 treatment effect estimates using multiplicative and additive methods.
- Conducted simulations to investigate launch criteria with and without bias adjustment.
- Supplemented simulation results with empirical evidence.
Main Results:
- Bias adjustment of phase 2 estimates is necessary when planning phase 3 sample sizes.
- Simulations demonstrated the impact of bias adjustment on sample size calculations.
- Empirical evidence supports the need to discount phase 2 results for phase 3 planning.
Conclusions:
- Discounting phase 2 results is recommended for robust phase 3 sample size planning.
- The proposed bias adjustment methods improve the reliability of clinical trial design.
- Recommendations are provided based on simulation and empirical investigations.
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