Comparison of robust criteria for D-optimal design


Autoria(s): Foo, Lee Kien; McGree, James; Eccleston, John; Duffull, Stephen
Data(s)

18/10/2012

Resumo

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.

Identificador

http://eprints.qut.edu.au/56074/

Publicador

Taylor & Francis

Relação

DOI:10.1080/10543406.2011.580484

Foo, Lee Kien, McGree, James, Eccleston, John, & Duffull, Stephen (2012) Comparison of robust criteria for D-optimal design. Journal of Biopharmaceutical Statistics, 22(6), pp. 1193-1205.

Fonte

Science & Engineering Faculty

Palavras-Chave #010400 STATISTICS #D-optimal design #ED-design #Nonlinear model #Pharmacokinetics #Robust design #Standard error
Tipo

Journal Article