期刊
BIOMETRICS
卷 58, 期 4, 页码 735-741出版社
BLACKWELL PUBLISHING LTD
DOI: 10.1111/j.0006-341X.2002.00735.x
关键词
cohort designs; D-optimality; maximin designs; random effects; robust designs
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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