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CrossOver: an algorithm for the construction of efficient cross-over designs.

J A John·K G Russell·D Whitaker
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Abstract

A cross-over experiment involves the application of sequences of treatments to several subjects over a number of time periods. It is thought that the observation made on each subject at the end of a time period may depend on the direct effect of the treatment applied in the current period, and the carry-over effects of the treatments applied in one or more previous periods. Various models have been proposed to explain the nature of the carry-over effects. An experimental design that is optimal under one model may not be optimal if a different model is the appropriate one. In this paper an algorithm is described to construct efficient cross-over designs for a range of models that involve the direct effects of the treatments and various functions of their carry-over effects. The effectiveness and flexibility of the algorithm are demonstrated by assessing its performance against numerous designs and models given in the literature.

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BibTeXRIS

J A John, K G Russell, D Whitaker. 2004-09-15. CrossOver: an algorithm for the construction of efficient cross-over designs.. https://doi.org/10.1002/sim.1860

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