title: Dissolution curve comparisons through the F(2) parameter, a Bayesian extension of the f(2) statistic.
abstract: 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.
authors.affiliation: a GlaxoSmithKline Pharmaceuticals , Research Triangle Park , North Carolina , USA.
authors.forename: Steven
authors.initials: S
authors.lastname: Novick
authors.forename: Yan
authors.initials: Y
authors.lastname: Shen
authors.forename: Harry
authors.initials: H
authors.lastname: Yang
authors.forename: John
authors.initials: J
authors.lastname: Peterson
authors.forename: Dave
authors.initials: D
authors.lastname: LeBlond
authors.forename: Stan
authors.initials: S
authors.lastname: Altan
mesh_terms: D001499:Bayes Theorem; D001702:Biopharmaceutics / Q000592:standards / Q000706:statistics & numerical data*; D002626:Chemistry, Pharmaceutical; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D017408:Guidelines as Topic; D007700:Kinetics; D015233:Models, Statistical; D009010:Monte Carlo Method; D015999:Multivariate Analysis; D004364:Pharmaceutical Preparations / Q000737:chemistry* / Q000592:standards; D011786:Quality Control; D012995:Solubility; D013678:Technology, Pharmaceutical / Q000379:methods / Q000592:standards / Q000706:statistics & numerical data*
chemical_list: D004364:Pharmaceutical Preparations
keywords: Bayesian model; Dissolution profile similarity; F2 parameter; In vitro release; f2 statistic