ADVANCED SHORT COURSE

高级短期课程

• 批准号: 6480889
• 负责人: THEODORE W BERGER
• 金额: $ 15.58万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2002-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6480889
• 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.

第二期高级短期课程，题为“建模与数据” 使用 ADAPT II 进行药代动力学和药效学分析", 由 D'Argenio 教授组织的会议将于 1998 年 8 月 5-6 日在 美国国立卫生研究院。 达吉尼奥教授将 由两位具有 ADAPT 软件包使用经验的 NCI 科学家协助 （史蒂夫·皮西泰利博士和威廉·菲格博士）。 超过 20 名 NCI 科学家 计划参加这个为期两天的会议，每位与会者 通过他们个人的笔记本电脑访问 ADAPT。 这 短期课程将重点关注 ADAPT 软件包的使用 建模、仿真、参数估计和实验设计 在药代动力学和药效学方面。 案例研究将是 演示了 ADAPT 软件的应用 解决各种建模、估计和实验设计 问题。 案例研究涉及计算机实践工作，并将 涵盖以下主题：药效学建模；贝叶斯 估计、最大似然和广义最小二乘 估计；使用多个输出模型进行估计；样本时间表 设计;生理模型模拟；具有时间延迟的模型；和 使用协变量建模。