期刊
STATISTICS IN MEDICINE
卷 27, 期 22, 页码 4581-4595出版社
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.3318
关键词
continuous design; D-A-optimal design; efficiency; multiple-objective optimal design
类别
资金
- NIH [R01GM072876, R01CA102486, P0109091, P30CA16042-32, M01RR010710, P30AG08051]
We provide optimal treatment allocation schemes when the outcome variance varies across the treatment groups and out-objectives are to estimate treatment effects with equal or unequal interest. Unlike other optimal designs, such as A-optimal designs, the proposed designs can be found without an iterative scheme. We evaluate robustness properties of the optimal designs to mis-specification in the expected variance from each group and identify situations when popular allocation schemes have poor efficiencies. An application to design a randomized rheumatoid arthritis trial is discussed, along with a potential application to design a cancer screening trial when the main outcome is a continuous variable. Copyright (c) 2008 John Wiley & Sons, Ltd.
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