Bioequivalence trials with the incomplete 3 x 3 crossover design

Area of Science:

• Pharmacokinetics and Drug Development
• Biostatistics and Clinical Trial Design

Background:

• Bioequivalence trials are crucial for generic drug approval.
• Higher-order crossover designs, like 3x3, can evaluate multiple generics simultaneously.
• Dropouts are a significant challenge in complex crossover trial designs.

Purpose of the Study:

• To extend a modified statistical method for analyzing incomplete 3x3 crossover bioequivalence trials.
• To provide a framework for comparing two generic drug products against a reference product within a single trial.

Main Methods:

• Extension of the Chow and Shao (1997) modified method.
• Application to incomplete 3x3 crossover designs.
• Inclusion of a simulation study to assess the method's performance.

Main Results:

• The modified method effectively handles missing data due to dropouts in 3x3 crossover designs.
• The approach allows for simultaneous comparison of two generic candidates with a reference drug.
• Simulation results support the validity and efficiency of the extended method.

Conclusions:

• The extended modified method offers a robust statistical solution for incomplete 3x3 crossover bioequivalence trials.
• This approach is more efficient than conducting separate 2x2 crossover trials for each generic.
• The method facilitates the evaluation of multiple generic drugs in bioequivalence studies.