ADVANCED SHORT COURSE

高级短期课程

• 批准号: 6339194
• 负责人: THEODORE W BERGER
• 金额: $ 13.4万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2001-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6339194
• 关键词: anesthesiology; bioengineering /biomedical engineering; biomedical resource; cardiovascular system; drug /agent; health care; liver; nervous system; respiratory system; statistics /biometry; technology /technique

The second Advance Short Course, entitled "Modeling and Data Analysis in Pharmacokinetics and Pharmacodynamics Using ADAPT II", organized by Professor D'Argenio will be held on August 5-6, 1998 at the National Institutes of Health. Professor D'Argenio will be assisted by two NCI scientists experienced in using the ADAPT Package (Dr. Steve Piscitelli and Dr. William Figg). Over 20 NCI scientists are scheduled to attend this two-day meeting, with each participant accessing ADAPT through their individual notebook computers. The Short Course will focus on the use of the ADAPT software packages for modeling, simulation, parameter estimation, and design of experiments in pharmacokinetics and pharmacodynamics. Case studies will be presented illustrating the application of the ADAPT software for solving a variety of modeling, estimation, and experiment design problems. The Case Studies involves hands-on computer work and will cover the following topics: pharmacodynamic modeling; Bayesian estimation, maximum likelihood and generalized least squares estimation; estimation with multiple output models; sample schedule design; physiological model simulation; models with time delays; and modeling with covariates.

第二个高级短期课程，标题为“建模和数据 使用Adapt II的药代动力学和药效学分析”， 由D'Argenio教授组织将于1998年8月5日至6日在 美国国立卫生研究院。 D'Argenio教授将 在使用Adapt软件包方面经验丰富的两名NCI科学家的协助 （Steve Piscitelli博士和William Figg博士）。 超过20个NCI科学家 计划参加为期两天的会议，每个参与者 通过其单独的笔记本计算机访问适应。 这 简短的课程将重点介绍适应软件包的使用 实验的建模，模拟，参数估计和设计 在药代动力学和药效学中。 案例研究将是 介绍了适应软件的应用 解决各种建模，估计和实验设计 问题。 案例研究涉及动手计算机工作，将 涵盖以下主题：药效学建模；贝叶斯 估计，最大似然和概括的最小二乘 估计；具有多个输出模型的估计；样本时间表 设计;生理模型模拟；随时间延迟的模型；和 用协变量进行建模。