Sample Size Calculation for Bioequivalence Studies Assessing Drug Effect and Food Effect at the Same Time With a 3-Treatment Williams Design

被引:0
作者
Jiacheng Yuan
Tiejun Tong
Man-Lai Tang
机构
[1] Novartis Pharmaceuticals Corporation,Department of Mathematics
[2] Hong Kong Baptist University,undefined
关键词
bioequivalence; crossover study; mixed-effects model; sample size; two 1-sided tests;
D O I
暂无
中图分类号
学科分类号
摘要
The US Food and Drug Administration issued a guidance in 2002, “Food-Effect Bioavailability and Fed Bioequivalence Studies,” in which it states “in addition to a BE [bioequivalence] study under fasting conditions, we recommend a BE study under fed conditions for all orally administered immediate-release drug products” for abbreviated new drug applications. This statement involves 3 studies: a BE study under fasting status, a food-effect (FE) study, and a BE study under fed status. In practice, when it is known that there is no FE with a reference (R) formulation, a sponsor may choose to run a BE study that assesses the drug effect and food effect with a test (T) formulation in a single study that includes 3 treatments: R formulation at fasting status, T formulation at fasting status, and T formulation at fed status. Such a study combines the fasting BE study and the FE study on the T formulation and may justify the waiver of the fed BE study if conclusions can be made that there is no FE with the T formulation after this combined study completes. This article discusses how to calculate the sample size for this kind of study with different primary analysis models. Also discussed are (1) sample size calculations with more general BE studies and (2) how they can be implemented using commercial software in a standard 2-treatment, 2-period, and 2-sequence crossover design, as well as (3) a related practical issue of how to retrieve residual intrasubject mean squared error from historical summary results in the literature.
引用
收藏
页码:242 / 247
页数:5
相关论文
共 4 条
  • [1] Williams EJ(1949)Experimental designs balanced for the residual effects of treatment Aust J Sci Res 2 149-168
  • [2] Chinchilli VM(1996)Design and analysis of intra-subject variability in cross-over experiments Stat Med 15 1619-1634
  • [3] Esinhart JD(2004)Tutorial in biostatistics—sample sizes for clinical trials with normal data Stat Med 23 1921-1986
  • [4] Julious SA(undefined)undefined undefined undefined undefined-undefined