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Published on: August 4, 2023
An Exact Procedure for the Evaluation of Reference-Scaled Average Bioequivalence
Laszlo Tothfalusi1, Laszlo Endrenyi2
1Department of Pharmacodynamics, Semmelweis University, Budapest, Hungary.
A new Exact algorithm for reference-scaled average bioequivalence (RSABE) offers improved power for highly variable and narrow therapeutic index drugs. This method provides more accurate consumer risk assessment compared to FDA and EMA approaches.
Area of Science:
- Pharmacokinetics and Pharmaceutical Sciences
- Biostatistics
- Regulatory Science
Background:
- Reference-scaled average bioequivalence (RSABE) is recommended by regulatory agencies like the FDA and EMA for assessing bioequivalence of highly variable (HV) and narrow therapeutic index (NTI) drugs.
- The FDA suggested an approximating procedure for RSABE evaluation, prompting the need for a numerically exact alternative.
- Existing methods may have limitations in power and accuracy for specific study designs.
Purpose of the Study:
- To develop and evaluate a numerically exact algorithm, termed 'Exact', for the assessment of RSABE.
- To compare the statistical power and consumer risk of the Exact method against FDA and EMA recommended procedures using simulations.
- To derive exact, analytical formulas for confidence intervals of RSABE.
Main Methods:
- A novel algorithm, 'Exact', was developed based on the noncentral t distribution model for RSABE.
- The algorithm's parameters were derived for both crossover and parallel-group study designs.
- Simulations were conducted for HV and NTI drugs to compare the Exact method with FDA and EMA approaches, assessing power and consumer risk.
Main Results:
- The Exact method demonstrated slightly higher statistical power compared to the FDA approach.
- Consumer risks for both Exact and FDA methods were generally below nominal error risk, with exceptions in partial replicate designs under heteroscedasticity.
- The Exact method's confidence intervals are uniformly most powerful and computationally simple, though Hedges' correction is needed for RSABE estimator bias.
Conclusions:
- The Exact algorithm provides a statistically robust and computationally efficient method for RSABE assessment.
- This approach offers improved power and more accurate consumer risk evaluation for HV and NTI drugs.
- The derived analytical formulas for confidence intervals enhance the precision of bioequivalence determination.
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