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Assessing departure from dose linearity under a repeated measures incomplete block design
Author(s) -
Cheng Bin,
Chow SheinChung
Publication year - 2010
Publication title -
pharmaceutical statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 38
eISSN - 1539-1612
pISSN - 1539-1604
DOI - 10.1002/pst.474
Subject(s) - repeated measures design , block (permutation group theory) , statistics , block design , mathematics , linearity , econometrics , medicine , computer science , engineering , geometry , combinatorics , electrical engineering
Dose proportionality/linearity is a desirable property in pharmacokinetic studies. Various methods have been proposed for its assessment. When dose proportionality is not established, it is of interest to evaluate the degree of departure from dose linearity. In this paper, we propose a measure of departure from dose linearity and derive an asymptotic test under a repeated measures incomplete block design using a slope approach. Simulation studies show that the proposed method has a satisfactory small sample performance in terms of size and power. Copyright © 2010 John Wiley & Sons, Ltd.