Dissolution Curve Comparisons Through the F2 Parameter,a Bayesian Extension of the f2 Statistic

Dissolution (or in vitro release) studies constitute an important aspect of pharmaceutical drug development. One important use of such studies is for justifying a biowaiver for post-approval changes which requires establishing equivalence between the new and old product. We propose a statistically rigorous modeling approach for this purpose based on the estimation of what we refer to as the F₂ parameter, an extension of the commonly used f₂ statistic. A Bayesian test procedure is proposed in relation to a set of composite hypotheses that capture the similarity requirement on the absolute mean differences between test and reference dissolution profiles. Several examples are provided to illustrate the application. Results of our simulation study comparing the performance of f₂ and the proposed method show that our Bayesian approach is comparable to or in many cases superior to the f₂ statistic as a decision rule. Further useful extensions of the method, such as the use of continuous-time dissolution modeling, are considered.