Assessment of similarity between dissolution profiles

Area of Science:

• Pharmaceutical Sciences
• Biostatistics

Background:

• In vitro dissolution equivalence is crucial for assessing post-approval changes in drug formulations.
• Comparing dissolution profiles between test and reference products is a common method.

Purpose of the Study:

• To evaluate the performance of mean difference and average squared mean difference methods for dissolution profile similarity assessment.
• To investigate the use of bootstrap confidence intervals for hypothesis testing of dissolution similarity.

Main Methods:

• The study analyzed two functions: absolute mean difference and average squared mean differences.
• Method of moment estimators were applied to these functions.
• Bootstrap confidence intervals were employed for hypothesis testing due to estimator distribution complexity.
• A simulation study examined the size and power of the proposed procedures.

Main Results:

• The simulation study provided insights into the performance of the statistical procedures.
• Bootstrap methods demonstrated utility in establishing confidence intervals for similarity testing.
• The study illustrated the practical application of these methods with a numerical example.

Conclusions:

• The bootstrap method offers a robust approach for testing dissolution profile similarity.
• The evaluated methods are applicable for assessing post-approval changes in pharmaceutical formulations.
• This research contributes to the statistical framework for drug product equivalence evaluation.