"Repeated Measurement Designs: Multiple Objectives, Response adaptive, and cost effective considerations"

我的研究项目侧重于设计和分析问题，在使用重复测量设计中出现的治疗效果。在这里，“治疗”一词是指科学和工程应用中的任何新政策、工具和干预措施，以及医疗应用中的药物和药物。短期目标是在比以往研究中构建的模型更一般的模型下构建最优重复测量设计，以保持其稳健性。长期目标是为最佳重复测量实验提供统一的指导方针。具体的拟议项目是： [1]约束最优重复测量设计 [2]离散结果的反应自适应重复测量设计 [3]1个试验中的N的设计和比较研究 我的研究将统一现有的结果，并达到一定程度的鲁棒性，使可能准备重建的最佳设计，实验条件的变化。我正在进行的研究证实，构建这样一个统一的设计是绝对可行的。由于这些问题是由实践中的需求驱动的，我的研究预计将对文献做出重大贡献。我发展的理论技术也将为应用研究者提供实践指导

My research program focuses on design and analysis issues that arise in the use of repeated measurement designs in the presence of treatment effects. Here, the term "treatment" refers to any new policies, tools, and interventions in science and engineering applications, as well as drugs and medications in medical applications. The short-term objective is to construct optimal repeated measurement designs under much more general models than those constructed in previous studies in an effort to keep them robust. The long-term objective is to provide unified guidelines for optimal repeated measures experiments. The specific proposed projects are: [1] Constrained optimal repeated measurement designs [2] Response adaptive repeated measurement designs for discrete outcomes [3] Designs for N of 1 Trials and comparative investigations My research would unify available results and attain some degree of robustness that makes possible ready reconstruction of optimal designs, as experimental conditions change. My research in progress confirms that constructing such a unifying design is definitely feasible. As these issues are driven by needs in practice, my research is expected to make a significant contribution to the literature. The theoretical techniques that I develop would provide practical guidelines for applied investigators as well