Optimal designs in multiple group random coefficient regression models
TEST(2019)
摘要
The subject of this work is multiple group random coefficients regression models with several treatments and one control group. Such models are often used for studies with cluster randomized trials. We investigate A -, D - and E -optimal designs for estimation and prediction of fixed and random treatment effects, respectively, and illustrate the obtained results by numerical examples.
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关键词
Optimal design, Treatment and control, Random effects, Cluster randomization, Mixed models, Estimation and prediction, 62K05
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