In a changeover design, each subject receives a sequence of treatments over consecutive time periods. We provide simple recursive formulae for updating the average efficiency factors of both direct and residual treatm...
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In a changeover design, each subject receives a sequence of treatments over consecutive time periods. We provide simple recursive formulae for updating the average efficiency factors of both direct and residual treatment effects, after two treatments are interchanged. We have incorporated these formulae into two interchange algorithms. From a comparison with designs generated from other algorithms using surrogate objectivefunctions, we show that these recursive methods generally produce more efficient designs more quickly. (C) 2002 Elsevier Science B.V. All rights reserved.
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