Some Statistical Considerations on 2 x k Crossover Designs for Bioequivalence Trial

被引:1
|
作者
Noh, So-young [1 ]
Park, Sang-Gue [1 ]
机构
[1] Chung Ang Univ, Dept Appl Stat, 221 Heukseok Dong, Seoul 156756, South Korea
关键词
Bioequivalence; Highly variable drugs; 2 x 2 cross-over design; 2 x 4 cross-over design; 2 x 3 cross-over design; sample size;
D O I
10.5351/KJAS.2013.26.4.675
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The Korea Food and Drug Administration(KFDA) recommends the use of a 2 x 2 crossover design to assess the bioequivalence of generic drugs. However, a standard 2 x 2 crossover design for bioequivalence trials is often considered problematic due to ethical and economic issues as highly variable drugs are usually required by large numbers of subjects when designing the trial. To overcome this problem a 2 x 4 crossover design has been a recommended option as per US regulations; in addition, a 2 x 3 crossover design has also recently drawn special attention as an efficient alternative. The current KFDA regulation requires an ANOVA table for every bioequivalence study; however, ANOVA tables of 2 x 4 and 2 x 3 crossover designs have never been published in the literature. This study shows the derivation of tables of analysis of variance for a 2 x 4 cross-over design and a 2 x 3 cross-over design. We also suggest a sample size formulas for 2 x 2, 2 x 4 and 2 x 3 crossover designs to provide information on the selection of efficient designs for highly variable drugs.
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页码:675 / 686
页数:12
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