Penalized optimal designs for dose-finding

Abstract : Optimal design under a cost constraint is considered, with a scalar coefficient setting the compromise between information and cost. It is shown that for suitable cost functions, by increasing the value of the coefficient one can force the support points of an optimal design measure to concentrate around points of minimum cost. An example of adaptive design in a dose-finding problem with a bivariate binary model is presented, showing the effectiveness of the approach.
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Contributor : Luc Pronzato <>
Submitted on : Friday, September 11, 2009 - 4:12:28 PM
Last modification on : Monday, November 5, 2018 - 3:52:02 PM
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Luc Pronzato. Penalized optimal designs for dose-finding. Journal of Statistical Planning and Inference, Elsevier, 2010, 140 (1), pp.283-296. ⟨10.1016/j.jspi.2009.07.012⟩. ⟨hal-00416014⟩

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