A Comparative Study of Statistical Methods for Population Bioequivalence in 2 x 2 Crossover Design

被引:0
|
作者
Park, Sang-Gue [1 ]
Lim, Nam-Kyoo [2 ]
Lee, Jae-Young [3 ]
Kim, Byung-Chun [4 ]
机构
[1] Chung Ang Univ, Div Math & Stat, Seoul 156756, South Korea
[2] Daejeon Univ, Dept Informat & Stat, Daejeon 300716, South Korea
[3] Korea Adv Inst Sci & Technol, Grad Sch Management, Div Management Engn, Seoul 130722, South Korea
[4] Korea Adv Inst Sci & Technol, Grad Sch Management, Seoul 130722, South Korea
关键词
Average bioequivalence; Individual bioequivalence; Population bioequivalence; 2 x 2 crossover design; Modified large sample method;
D O I
暂无
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 US Food and Drug Administration(FDA) recommends that population bioequivalence and individual bioequivalence would be assessed to address the prescribability and switchability between a brand-name drug and its new formulation or generic copy in its 2001 guidance document. The test for population bioequivalence in the latest FDA guidance is recommended in 2 x 4 crossover design, but it turns out to be very conservative. Recently Lee, Shao & Chow(2002), Chow, Shao & Wang(2003) and McNally, Iyer & Mathew(2002) proposed new statistical methods for assessing population bioequivalence between drugs to correct the biasness of current FDA method. Since 2 x 2 crossover experiment is most welcomed design in bioequivalence testing, we adopt their methods to 2 x 2 crossover designs and compare their methodologies with FDA one through the simulation study.
引用
收藏
页码:159 / 171
页数:13
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