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Maximin D-optimal designs for longitudinal mixed effects models.

Mario J N M Ouwens·Frans E S Tan·Martijn P F Berger
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Abstract

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.

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ChildChild, PreschoolCohort StudiesGrowthHumansLinear ModelsLongitudinal StudiesModels, BiologicalResearch DesignJournal Article

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Mario J N M Ouwens, Frans E S Tan, Martijn P F Berger. 2002. Maximin D-optimal designs for longitudinal mixed effects models.. https://doi.org/10.1111/j.0006-341x.2002.00735.x

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