title: Assessing departure from dose linearity under a repeated measures incomplete block design.
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.
authors.affiliation: Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA. bc2159@columbia.edu
authors.forename: Bin
authors.initials: B
authors.lastname: Cheng
authors.forename: Shein-Chung
authors.initials: SC
authors.lastname: Chow
mesh_terms: D003198:Computer Simulation; D018849:Controlled Clinical Trials as Topic / Q000379:methods*; D003627:Data Interpretation, Statistical; D004305:Dose-Response Relationship, Drug; D006801:Humans; D015233:Models, Statistical; D004364:Pharmaceutical Preparations / Q000008:administration & dosage*; D010599:Pharmacokinetics; D012107:Research Design; D018401:Sample Size
chemical_list: D004364:Pharmaceutical Preparations