Optimum designs for two treatments with unequal variances in the presence of covariates

A. C. Atkinson

Biometrika, 2015, vol. 102, issue 2, 494-499

Abstract: Optimum designs are described for two treatments with different variances when covariates are included in the model. The designs, a generalization of Neyman allocation, are required in personalized medicine to model the effect of covariates on the choice of treatment. The use of the designs in clinical trials is indicated. D-optimality of the designs is established using results from Kiefer’s general equivalence theorem. The results are obtained with the use of surprisingly elementary algebra.

Date: 2015
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Citations: View citations in EconPapers (7)

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