Statistical Software for Data with Measurement Error

描述(由申请人提供)：本研究的最终目的 应用程序是下一代处理软件S+ME的开发 协变量测量误差。所开发的方法也适用于 缺少协变量的数据。为了实现这一目标，我们的大部分研究工作将 致力于回归校正、SIMEX和 将迭代插补方法转化为一个软件包。这些方法将 通过结合诊断技术、敏感度分析和 将图形化的方法融入到软件包中。在第一阶段可行性研究中， 已经开发了单变量高斯和Logistic回归的算法。 将这些方法推广到建模中的协变量测量误差 相关响应，例如在纵向或空间数据中。 本研究的成果将为开展这项工作做出根本性的贡献 通过开发成熟的方法和用户友好的方式，提高公共卫生研究的质量 用于处理丢失或错误测量的协变量的软件。目前，有 这方面的商业软件很少，甚至没有。拟议研究的目的 就是要克服这一不足，带来测量误差的好处 面向广大生物医学分析师和从业者的模型。S+我 模块将作为面向对象的软件在S+中实现 语言。将开发一本全面的案例研究指南，其中包括REAL 暴露和风险因素存在的问题，这些因素本身就包含测量 错误。 建议的商业应用：不可用

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