Comparison of robust criteria for D-optimal designs.
This study compared the performance of a local and three robust optimality criteria in terms of the standard error for a one-parameter and a two-parameter nonlinear model with uncertainty in the parameter values. The designs were also compared in conditions where there was misspecification in the prior parameter distribution. The impact of different correlation between parameters on the optimal design was examined in the two-parameter model. The designs and standard errors were solved analytically whenever possible and numerically otherwise.
School of Pharmacy, University of Otago, Dunedin, New Zealand. lee-kien.foo@otago.ac.nz
Lee Kien
LK
Foo
James
J
McGree
John
J
Eccleston
Stephen
S
Duffull
D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D004364:Pharmaceutical Preparations / Q000008:administration & dosage / Q000097:blood; D010599:Pharmacokinetics; D012107:Research Design / Q000706:statistics & numerical data*; D016008:Statistical Distributions
D004364:Pharmaceutical Preparations