Multiple testing for bioequivalence with pharmacokinetic data in 2 x 2 crossover designs.
نویسندگان
چکیده
To evaluate globally the average bioequivalence of a test drug to a reference drug in a pharmacokinetic (PK) study under a 2 x 2 crossover design, we consider directly comparing the associated drug concentration-time curves. Statistical models for the drug concentrations are suggested when the concentrations measured at different time points are distributed according to a generalized gamma distribution and the mean concentrations over time is described by a one-compartment PK model. A multiple test based on the supreme distance between the two curves over the time interval under study is then proposed for testing the equivalence of the two drug concentration-time curves. The results of a Monte Carlo study suggest that, comparative to the conventional univariate and bivariate tests, the proposed test is more powerful for detecting the global bioequivalence and superior on maintaining its level when the global bioequivalence is violated. The application of the proposed tests is finally illustrated by using the data in a PK study involving two brands of benzbromarone tablets for reducing the uric acid.
منابع مشابه
On statistical power for average bioequivalence testing under replicated crossover designs.
In its recent guidance on bioequivalence, the U.S. Food and Drug Administration (FDA) recommends a two-sequence, four-period (2 x 4) replicated crossover design be used for assessment of population and individual bioequivalence [FDA. Guidance for Industry on Statistical Approaches to Establishing Bioequivalence; Center for Drug Evaluation and Research, Food and Drug Administration: Rockville, M...
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ورودعنوان ژورنال:
- Statistics in medicine
دوره 28 28 شماره
صفحات -
تاریخ انتشار 2009