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和用户友好的软件来处理测量误差，为公共卫生研究的进行做出基本贡献。目前，该领域很少或根本没有商业软件。 拟议的研究的目的是克服这一缺陷，并扩大测量误差模型的好处，以广泛的受众的生物医学分析师和从业人员。 为了实现这一目标，我们的大部分研究工作将致力于开发回归校准和迭代插补方法，两种常见的测量误差的方法，在一个软件包。 通过将诊断技术、敏感性分析和图形方法纳入软件包，这种方法将变得成熟。 S+ME模块将作为S-Plus语言的面向对象软件模块实施。 将编制一份全面的案例研究指南，其中涉及接触和风险因素中的测量误差的真实的问题。建议的商业应用S+ME将产生S-Plus软件系统的附加模块。 该模块将吸引现有的S-Plus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。 这项研究还将导致编写短期课程、书籍、录像和其他教育材料。

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.