Maximin D-optimal designs for longitudinal mixed effects models

M.J.N. Ouwens, E.S. Tan, M.P.F. Berger

Research output: Contribution to journalArticleAcademicpeer-review

31 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)735-741
Number of pages7
JournalBiometrics
Volume58
Issue number4
DOIs
Publication statusPublished - 1 Jan 2002

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