Maximin D-optimal designs for longitudinal mixed effects models.
In this article, the optimal selection and allocation of time points in repeated measures experiments is considered. D-optimal cohort designs are computed numerically for the first- and second-degree polynomial models with random intercept, random slope, and first-order autoregressive serial correlations. Because the optimal designs are locally optimal, it is proposed to use a maximin criterion. It is shown that, for a large class of symmetric designs, the smallest relative efficiency over the model parameter space is substantial.
Ouwens
Mario J N M
MJ
Department of Methodology and Statistics, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands. mario.ouwens@stat.unimaas.nl
Tan
Frans E S
FE
Berger
Martijn P F
MP
D002648:Child; D002675:Child, Preschool; D015331:Cohort Studies; D006128:Growth; D006801:Humans; D016014:Linear Models; D008137:Longitudinal Studies; D008954:Models, Biological; D012107:Research Design