Comparison of robust criteria for D-optimal design
Data(s) |
18/10/2012
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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 | |
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 |