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- Title:
A nonparametric test for similarity of marginals - with applications to the assessment of population bioequivalence
- Document type:
- Zeitschriftenaufsatz
- Author(s):
- Freitag, G., Czado, C., Munk, A.
- 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.
- Keywords:
- Bioequivalence; Cross-over trials; Hadamard derivative; Limit law; Multivariate empirical process; Pre-post comparison
- Journal title:
- Journal of Statistical Planning and Inference
- Year:
- 2007
- Journal volume:
- 137
- Journal issue:
- 3
- Pages contribution:
- 697-711
- Reviewed:
- ja
- Language:
- en
- WWW:
- http://www.sciencedirect.com/science/article/pii/S0378375806001352
- Status:
- Verlagsversion / published
- Semester:
- SS 08
- Format:
- Text
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