Efficient Designs for Complex Scientific Experiments

研究者在这个项目中有双重目的，既涉及在药物发现/药物滥用、心脏相关QT/QTc研究、评估新药的不良影响以及涉及化学反应的矿物加工的实验中收集高效数据的成本效益方法，II期和III期药物试验。类似于PK/PD模型，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，在Klimpels浮选回收模型、化学动力学模型和隔室模型的基础上，研究人员开发了分析上合理和创新的技术，用于在约束实验条件下对潜在模型参数进行最优/近最优估计。本提案的目的是为fMRI研究、医学和药学的研究从业者提供现成的统计/计算软件，以进行具有成本效益的实验。室模型的研究成果将允许基于临床或实验数据对复杂的HIV动态模型进行正式严格的推断和分析。fMRI研究、医学和药学领域的研究从业者可以通过使用新开发的基于软件的交叉设计来节省时间和金钱。

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.