Penalized optimal designs for dose-finding
نویسندگان
چکیده
منابع مشابه
Penalized optimal designs for dose-finding
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 biva...
متن کاملPenalized and response-adaptive optimal designs. Application to dose finding
Optimal design under a cost constraint is considered, with a scalar coefficient setting the compromise between information (i.e., precision of the estimation of the model parameters) and cost. 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. When the experiment is c...
متن کاملOptimal designs for dose finding studies
Identifying the “right” dose is one of the most critical and difficult steps in the clinical development process of any medicinal drug. Its importance cannot be understated: selecting too high a dose can result in unacceptable toxicity and associated safety problems, while choosing too low a dose leads to smaller chances of showing sufficient efficacy in confirmatory trials, thus reducing the c...
متن کاملwww.econstor.eu Optimal designs for dose finding studies
Identifying the “right” dose is one of the most critical and difficult steps in the clinical development process of any medicinal drug. Its importance cannot be understated: selecting too high a dose can result in unacceptable toxicity and associated safety problems, while choosing too low a dose leads to smaller chances of showing sufficient efficacy in confirmatory trials, thus reducing the c...
متن کاملPenalized and Response-adaptive Optimal Designs with Application to Dose-finding
Adaptive optimal design with a cost constraint is considered, both for nonlinear regression and Bernoulli type experiments, with application in clinical trials. The strong consistency and asymptotic normality of the estimators is proved for designs over a finite space, both when the cost level is fixed, and the adaptive design converges to an optimum constrained design, and when the objective i...
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ژورنال
عنوان ژورنال: Journal of Statistical Planning and Inference
سال: 2010
ISSN: 0378-3758
DOI: 10.1016/j.jspi.2009.07.012