Efficient Designs for Complex Scientific Experiments

研究人员在这个项目中有两重目的，既涉及在涉及药物发现/药物滥用的第一阶段、第二阶段和第三阶段药物试验中收集高效数据的成本效益方法，与心脏相关的QT/QTC研究，评估新药的有害影响，也涉及涉及化学反应的矿物加工实验。与PK/PD模型类似，人们在处理医学/化学/环境研究时需要复杂的非线性模型。在此背景下，研究人员在Klimpels浮选回收模型、化学动力学模型和隔室模型的基础上，开发了分析合理和创新的技术，以在受限的实验条件下对潜在模型参数进行最佳/接近最佳的估计。该建议的目的是为功能磁共振研究、医学和药剂学的研究从业者提供易于使用的统计/计算软件，以进行具有成本效益的实验。隔室模型的研究成果将允许对复杂的艾滋病毒动态模型进行基于临床或实验数据的正式严格推理和分析。通过使用新的基于软件的交叉设计，功能磁共振研究、医学和药学领域的研究从业者可以节省时间和金钱。

The investigator has two-fold purpose in this project both relate to cost-effective methods of collecting high-efficiency data in Phase I, Phase II and Phase III pharmaceutical trials involving drug discovery/drug abuse, heart-related QT/QTc studies, evaluation of new drugs for unwanted effects and also in experiments dealing with processing of minerals involving chemical reactions. Akin to PK/PD models, one requires complex non-linear models in dealing with medical/chemical/environmental studies. In this context, dwelling on Klimpels floatation recovery model, chemical kinetic model and compartment model, the investigator develops analytically sound and innovative techniques for optimal/nearly optimal estimation of the underlying model parameters with constrained experimental conditions.The aim of this proposal is to provide research practitioners in fMRI studies, medicine, and pharmacy with ready-to-use statistical/computational software for carrying out cost-effective experiments. Research outcomes on compartment models will allow formal rigorous inference and analysis based on clinical or experimental data for complicated HIV dynamic models. Research practitioners in fMRI studies, medicine, and pharmacy can save time and money by using the new to-be-developed software-based crossover designs.