Generalized Additive Mixed Models for correlated Data

描述（由申请人提供）：我们研究的最终目标是 广义可加混合模型工具包S+ GAMM的开发 相关数据本研究将为我国的 开展公共卫生研究， 处理相关数据的方法和用户友好的软件。 目前还没有商业软件可以做到这一点。的目的 建议的研究是克服这一缺陷，并扩大的好处， 使用平滑样条对协变量效应进行建模， 礼物该方法是混合效应建模的集成， 均值函数的方差分量和非参数加性模型 协变量效应。我们将结合诊断技术和图形 方法放入包中。S+ GAMM模块将是面向对象的 S-Plus语言的软件模块。我们亦会制订一套全面的 使用真实的问题的案例研究指南，如纵向数据和空间 数据 拟定商业应用： S+GAMM将是S-Plus软件系统中的一个模块。 该模块将具有吸引力 无论是现有的S-Plus用户群，以及更广泛的社区， 生物医学研究人员和数据分析师。 这项研究也将导致发展 短期课程，书籍和其他教育材料。

DESCRIPTION (provided by applicant): The ultimate objective of our research is the development of S+ GAMM: a toolkit of generalized additive mixed model for correlated data. This research will make fundamental contributions to the conduct of public health studies by developing robust semi-parametric methodologies and user-friendly software for handling correlated data. Currently, there is no commercial software that does this. The aim of the proposed research is to overcome this deficiency and extend the benefits of using smoothing splines to model the covariate effects when correlation is present. The methodology is an integration of mixed-effects modeling for variance components and non-parametric additive models for the mean functions of covariate effects. We will incorporate diagnostic techniques and graphical methods into the package. The S+ GAMM module will be an object-oriented software module in the S-Plus language. We will also develop a comprehensive case study guidebook using real problems, such as longitudinal data and spatial data. PROPOSED COMMERCIAL APPLICATION: S+GAMM will be a module in the S-Plus software system. This module will be attractive both to the existing S-Plus user base, as well as to a much broader community of biomedical researchers and data analysts. This research will also lead to the development of short courses, books, and other educational materials.