Assessing Average Bioequivalence for 2×2 Crossover Design with Covariates

공변량을 고려한 2×2 교차설계법에 평균 생물학적 동등성 평가

Jeong, Gyu-Jin;Park, Sang-Gue;Kim, Kwan-Yup

  • Received : 20101000
  • Accepted : 20101100
  • Published : 2011.02.28


The primary variables are often systematically related to other influences apart from drug effect. For instance, there may be relationships to covariates such as health conditions or prognostic factors. When a $2{\times}2$ crossover experiment for bioequivalence is designed, the statistical adjustment for the influence of covariates should be considered if some covariates influence the drug effect. Statistical inference for assessing average bioequivalence for a $2{\times}2$ crossover design with covariates is given and an illustrated example is presented with discussion.


$2{\times}2$ crossover design;bioavailability;average bioequivalence;covariates


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Cited by

  1. On Evaluation of Bioequivalence for Highly Variable Drugs vol.24, pp.6, 2011,


Supported by : 한남대학교