An interactive tool for designing efficient toxicology experiments

William Gertsch, Weng Kee Wong

研究成果: Article同行評審


The design of dose–response experiments is an important part of toxicology research. Efficient design of these experiments requires choosing optimal doses and assigning the correct number of subjects to those doses under a given criterion. Optimal design theory provides the tools to find the most efficient experimental designs in terms of cost and statistical efficiency. However, the mathematical details can be distracting and make these designs inaccessible to many toxicologists. To facilitate use of these designs, we present an easy to use web-app for finding two types of optimal designs for models commonly used in toxicology. We include tools for checking the optimality of a given design and for assessing efficiency of any user-supplied design. Using state-of-the-art nature-inspired metaheuristic algorithms, the web-app allows the user to quickly find optimal designs for estimating model parameters or the benchmark dose.

頁(從 - 到)1015-1022
期刊Archives of Toxicology
出版狀態Published - 2024 3月

All Science Journal Classification (ASJC) codes

  • 毒理學
  • 健康、毒理學和誘變


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