STATISTICAL SOFTWARE FOR DATA WITH MEASUREMENT ERROR

我们研究的最终目标是开发S+ME：下一代测量误差处理软件。这项研究将通过开发成熟的方法学和用户友好的测量误差处理软件，为公共卫生研究的开展做出基础性贡献。目前，这一领域的商业软件很少或根本没有。拟议研究的目的是克服这一不足，并将测量误差模型的好处扩大到生物医学分析师和从业者的广泛受众。为了实现这一目标，我们的大部分研究工作将致力于在软件包中开发回归校正和迭代补偿方法，这两种常见的测量误差方法。通过将诊断技术、敏感性分析和图形方法纳入包中，这种方法将变得更加成熟。S+ME模块将以S+语言的面向对象软件模块的形式实现。将编写一本全面的案例研究指南，涉及曝光中的测量误差和风险因素的实际问题。拟议的商业应用S+ME将导致S+软件系统的一个附加模块。此模块将对现有的S+用户群以及更广泛的生物医学研究人员和数据分析师社区具有吸引力。这项研究还将导致开发短期课程、书籍、视频和其他教育材料。

The ultimate objective of our research is the development of S+ME: next generation software for handling measurement error. This research will make fundamental contributions to the conduct of public health studies by developing mature methodology and user-friendly software for handling measurement error. Currently, there is little or no commercial software in this area. The aim of the proposed research is to overcome this deficiency and extend the benefits of measurement error models to a wide audience of biomedical analysts and practitioners. To achieve this aim, much of our research effort will be devoted towards developing regression calibration and iterative imputation methods, two common measurement error methods, in a software package. This methodology will be matured by incorporating diagnostic techniques, sensitivity analyses, and graphical methods into the package. The S+ME module will be implemented as an object-oriented software module in the S-Plus language. A comprehensive case study guidebook will be developed involving real problems with measurement error in exposures and risk factors. PROPOSED COMMERCIAL APPLICATION S+ME will result in an add-on module to the S-Plus software system. This module will be attractive to the existing S-Plus user base as well as the much broader community of biomedical researchers and data analysts. This research will also lead to the development of short courses, books, videos and other educational material.