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A ComparativeSstudy of Assessing Average Bioequivalence in 2x2 Crossover Design with Missing Observations
- Authors
- Park, Sang-Gue; Choi, J.
- Issue Date
- Mar-2006
- Publisher
- 한국데이터정보과학회
- Keywords
- Average bioequivalence; Incomplete crossover design; Maximum likelihood estimation; Missing at random
- Citation
- 한국데이터정보과학회지, v.17, no.1, pp 245 - 257
- Pages
- 13
- Journal Title
- 한국데이터정보과학회지
- Volume
- 17
- Number
- 1
- Start Page
- 245
- End Page
- 257
- ISSN
- 1598-9402
- Abstract
- A modified Anderson and Hauck(1983) test for analyzing a two-sequence two-period crossover design in bioequivalence trials is proposed when some observations at the second period are missing. It is based on the maximum likelihood estimators of average bioequivalence model and designed for handling missing at random(MAR) situation. The performance of the proposed test is compared to other tests using Monte Carlo simulations.
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