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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Freitag, G., Czado, C., Munk, A. 
Titel:
A nonparametric test for similarity of marginals - with applications to the assessment of population bioequivalence 
Abstract:
In this paper we suggest a completely nonparametric test for the assessment of similar marginals of a multivariate distribution function. This test is based on the asymptotic normality of Mallows distance between marginals. It is also shown that the n out of n bootstrap is weakly consistent, thus providing a theoretical justification to the work in Czado & Munk [12]. The test is extended to cross-over trials and is applied to the problem of population bioequivalence, where two formulations of a drug are shown to be similar up to a tolerable limit. This approach was investigated in small samples using bootstrap techniques in [12], showing that the bias corrected and accelerated bootstrap yields a very accurate and powerful finite sample correction. A data example is discussed. 
Stichworte:
Bioequivalence; Cross-over trials; Hadamard derivative; Limit law; Multivariate empirical process; Pre-post comparison 
Zeitschriftentitel:
Journal of Statistical Planning and Inference 
Jahr:
2007 
Band / Volume:
137 
Heft / Issue:
Seitenangaben Beitrag:
697-711 
Reviewed:
ja 
Sprache:
en 
Status:
Verlagsversion / published 
Semester:
SS 08 
Format:
Text