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Assessing Average Bioequivalence for 2×2 Crossover Design with Covariates
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 Title & Authors
Assessing Average Bioequivalence for 2×2 Crossover Design with Covariates
Jeong, Gyu-Jin; Park, Sang-Gue; Kim, Kwan-Yup;
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 Abstract
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 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 crossover design with covariates is given and an illustrated example is presented with discussion.
 Keywords
crossover design;bioavailability;average bioequivalence;covariates;
 Language
Korean
 Cited by
1.
변이가 큰 약물의 생물학적 동등성 평가에 관한 연구,정규진;박상규;

응용통계연구, 2011. vol.24. 6, pp.1055-1076 crossref(new window)
1.
On Evaluation of Bioequivalence for Highly Variable Drugs, Korean Journal of Applied Statistics, 2011, 24, 6, 1055  crossref(new windwow)
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Schuirmann, D. J. (1987). A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability, Journal of Pharmacokinetics and Pharmacodynamics, 15, 657–680.