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

Cite this

Ouwens, M.J.N. ; Tan, E.S. ; Berger, M.P.F. / Maximin D-optimal designs for longitudinal mixed effects models. In: Biometrics. 2002 ; Vol. 58, No. 4. pp. 735-741.
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Maximin D-optimal designs for longitudinal mixed effects models. / Ouwens, M.J.N.; Tan, E.S.; Berger, M.P.F.

In: Biometrics, Vol. 58, No. 4, 01.01.2002, p. 735-741.

Research output: Contribution to journalArticleAcademicpeer-review

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