Average bioequivalence for two-sequence two-period crossover design with incomplete data

A statistical procedure for analyzing a two-sequence two-period crossover design in bioequivalence trials is discussed when some observations at the second period are missing. The maximum likelihood estimators of the parameters in the average bioequivalence model are obtained under missing at random and a modified two one-sided test is proposed. The performances of the discussed test are compared using Monte Carlo simulations.
Publisher
TAYLOR FRANCIS INC
Issue Date
2005
Language
ENG
Keywords

MISSING DATA

Citation

JOURNAL OF BIOPHARMACEUTICAL STATISTICS, v.15, no.5, pp.857 - 867

ISSN
1054-3406
DOI
10.1081/BIP-200067986
URI
http://hdl.handle.net/10203/4224
Appears in Collection
MT-Journal Papers(저널논문)
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