课题基金 / 基金详情

Statistical Software for Data with Measurement Error

Statistical Software for Data with Measurement Error
测量误差数据统计软件
批准号:
6522252
负责人:
Edward C Chao
金额:
$39.12万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1999
资助国家:
美国
项目状态:
已结题
起止时间:
1999-09-22 至 2004-11-30

项目摘要

项目成果

Edward C Chao的其他基金

相关文献

中文摘要
翻译
描述(由申请人提供):本研究的最终目的 应用是S+ME的开发:下一代处理软件 协变量测量误差所制定的方法也适用于 缺失协变量的数据。为了实现这一目标,我们的大部分研究工作将 致力于回归校准、SIMEX和 迭代插补方法到一个软件包。这些方法将 通过结合诊断技术、敏感性分析和 图形方法到软件包中。在一期可行性研究中, 已经开发了用于单变量高斯和逻辑回归的算法。 将这些方法推广到协变量测量误差建模中 相关的响应,如纵向或空间数据。 本文的研究成果将对指导我国的农业生产实践具有重要的理论意义和现实意义 发展成熟的研究方法和方便使用者, 用于处理缺失或误测协变量的软件。目前还 很少或没有商业软件在这个领域。拟议研究的目的 就是要克服这一缺陷, 模型的生物医学分析师和从业人员的广泛受众。关于S+ME 模块将作为面向对象的软件在S-Plus中实现 语言将编写一本全面的案例研究指南真实的 暴露和风险因素中固有的问题, 错误. 拟议商业应用:不可用
英文摘要
DESCRIPTION (provided by applicant): The ultimate objective of this research application is the development of S+ME: a next generation software for handling covariate measurement error. The developed methodologies are also applicable to data with missing covariates. To achieve this, much of our research effort will be devoted towards combinging algorithms in regression calibration, SIMEX and iterative imputation methods into a software package. These methodologies will be matured by incorporating diagnostic techniques, sensitivity analyses, and graphical methods into the software package. In the Phase I feasibility study, algorithms have been developed for univariate Gaussian and logistic regression. These methods will be extended to covariate measurement error in modeling correlated responses such as in longitudinal or spatial data. The result of this research will make fundamental contributions to the conduct of public health studies by developing mature methodology and user-friendly software for handling missing or mismeasured covariates. Currently, there is little or no commercial software in this area. The aim of the proposed research is to overcome this deficiency and bring the benefits of measurement error models to a wide audience of biomedical analysts and practitioners. The S+ME module will be implemented as an object-oriented software in the S-Plus language. A comprehensive case study guidebook will be developed involving real problems in exposure and risk factors which inherently contain measurement error. PROPOSED COMMERCIAL APPLICATION: NOT AVAILABLE
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Statistical Methods for Incomplete Data with Measurement Errors
  • 批准号:
    8252746
  • 项目类别:
  • 资助金额:
    $19.86万
  • 财政年份:
    2012
  • 负责人:
    Edward C Chao
  • 依托单位:
Statistical Methods for Incomplete Data with Measurement Errors
  • 批准号:
    9060357
  • 项目类别:
  • 资助金额:
    $65.69万
  • 财政年份:
    2012
  • 负责人:
    Edward C Chao
  • 依托单位:
Analytic, Sensitivity and Graphical Methods for Investigating Dropout Data
  • 批准号:
    7771937
  • 项目类别:
  • 资助金额:
    $37.17万
  • 财政年份:
    2009
  • 负责人:
    Edward C Chao
  • 依托单位:
Analytic, Sensitivity and Graphical Methods for Investigating Dropout Data
  • 批准号:
    7539999
  • 项目类别:
  • 资助金额:
    $11.31万
  • 财政年份:
    2008
  • 负责人:
    Edward C Chao
  • 依托单位: