SUPPORT ENVIRONMENT FOR GRADE OF MEMBERSHIP (GOM) MODEL

会员等级 (GOM) 模型的支持环境

• 批准号: 2053832
• 负责人: JAMES C VERTREES
• 金额: $ 7.48万
• 依托单位: SOLON CONSULTING GROUP, LTD.
• 依托单位国家: 美国
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-07-05 至 1994-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2053832
• 关键词: computer data analysis; computer human interaction; mathematical model; model design /development; statistics /biometry

Grade of Membership (GoM) is a multivariate analytic technique for analyzing high dimensional discrete response data with very general distributional assumptions. GoM has been developed as a research tool at Duke University over the last 10 years with efforts focused on developing and assessing the statistical foundations of GoM. Little effort has been directed to producing a fully documented version of GoM. Thus, various versions of GoM exist with different capabilities. The first project task will be to identify an appropriate research version of the GoM which will be enhanced and documented for distribution to NIA and NIH researchers. The GoM version will be capable of handling datasets with sizes on the order of 10,000 observations and 30 analytic variables and will minimally operate on workstations and 486-based PCs. Such a version of GoM would be capable of analyzing many of the national survey datasets including the National Long Term Care Surveys. An intelligent support environment for the GoM model is also proposed to assist researchers in applying GoM. The support environment will include three modules: Question and Answers (Q&A), Data Preparation, and Report Analysis. Development of a prototype environment and a DOS version of GoM is proposed for Phase I.

会员等级 (GoM) 是一种多元分析技术，用于 分析具有非常通用的高维离散响应数据 distributional assumptions. GoM has been developed as a research tool at 杜克大学过去10年致力于发展 并评估墨西哥政府的统计基础。 付出的努力并不多 旨在生成 GoM 的完整文档版本。 Thus, various GoM 的版本具有不同的功能。 The first project task 将确定 GoM 的适当研究版本，该版本将 得到增强和记录，以便分发给 NIA 和 NIH 研究人员。 GoM 版本将能够处理大小为 10,000 个观察值和 30 个分析变量的顺序，并且至少会 operate on workstations and 486-based PCs. Such a version of GoM would be 能够分析许多国家调查数据集，包括 National Long Term Care Surveys. 还提出了GoM模型的智能支持环境 assist researchers in applying GoM. The support environment will include 三个模块：问答（Q&A）、数据准备和报告 分析。 开发原型环境和 DOS 版本的 GoM is proposed for Phase I.