首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Assessing departure from dose linearity under a repeated measures incomplete block design
Authors:Cheng Bin  Chow Shein-Chung
Institution:Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA. bc2159@columbia.edu
Abstract: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.
Keywords:dose response study  pharmacokinetic parameters  Mahalanobis distance  heteroscedastic variance  sample size calculation
本文献已被 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号