BIOSTATISTICAL COMPUTING RESOURCE

生物统计计算资源

• 批准号: 3521088
• 负责人: FRANK E. HARRELL
• 金额: $ 24.2万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-04-15 至 1992-04-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3521088
• 关键词: behavioral medicine; biomedical equipment purchase; cardiovascular disorder; computer assisted medical decision making; computer data analysis; computer graphics /printing; computer program /software; computer system design /evaluation; heart function; heart rhythm; high risk behavior /lifestyle; mathematical model; neurology; pharmacokinetics; sickle cell anemia; statistical service /center; statistics /biometry

Powerful computer workstations are dramatically improving biostatistical research and the application of modern biostatistical methods to medical problems. This proposal is an application to obtain a centralized data file server and CPU, a network of satellite workstations, associated peripheral devices, and software to allow investigators to have interactive access to state-of-the-art statistical computing tools and high-resolution graphics. The client/server model of the proposed resource will allow computationally intensive tasks to be undertaken that will enable researchers to fully understand the properties of complex statistical models applied to important clinical problems. Newer interactive data analysis methods supported by the proposed equipment will increase productivity and yield better analyses for a myriad of PHS-supported projects. The system would be a shared resource, serving the needs of many medical divisions and departments. Some of the projects that would be made possible by the proposed network pertain to statistical modeling of patient survival, exact nonparametric tests, Alzheimer's disease, early termination of clinical trials, robust but computer-intensive bootstrap estimation, cancer modeling, effects of treatment timing in coronary disease, DNA and protein sequencing, studies of outcome and treatment variability using large medical databases, studies of . behavioral risk factors, pharmacokinetic modeling, cardiac function, and stochastic models of cardiac arrhythmias. These projects are directly related to car- diovascular disease, critical illness in disabled elderly patients, Sickle cell disease, neurology, cancer, behavioral medicine, and many other areas of medical research. These projects share requirements for expensive resources such as graphics devices, data storage, CPUs capable of intensive computations, and software development and maintenance. The methods that can be developed with this resource will directly benefit research in many important medical problems.

强大的计算机工作站正在显著改善生物统计学 现代生物统计学方法在医学中的研究与应用 问题 这个建议是一个应用程序，以获得集中的数据 文件服务器和CPU，卫星工作站网络， 外围设备和软件，使调查人员能够 交互式访问最先进的统计计算工具， 高分辨率图形。 提出的客户机/服务器模型 资源将允许执行计算密集型任务， 将使研究人员能够充分了解复杂的性质， 应用于重要临床问题的统计模型。 较新 建议设备支持的交互式数据分析方法 将提高生产力，并为无数的 PHS支持的项目。 该系统将是一个共享资源， 许多医疗部门的需求。 一些项目将通过拟议的 网络涉及患者生存的统计建模，精确 非参数检验，阿尔茨海默病，提前终止临床研究 试验，稳健但计算机密集型的自助估计，癌症 建模，治疗时机对冠心病的影响，DNA和 蛋白质测序，使用 大型医学数据库，研究。行为风险因素， 药代动力学建模，心脏功能和随机模型， 心律失常 这些项目与汽车直接相关。 心血管疾病，老年失能患者的危重病， 镰状细胞病，神经病学，癌症，行为医学，以及许多 其他医学研究领域。 这些项目都需要昂贵的资源， 图形设备，数据存储，能够进行密集计算的CPU， 软件开发和维护。 这些方法可以 利用这些资源开发的技术将直接有利于许多领域的研究。 重要的医疗问题。