TI PC SOFTWARE FOR ANALYZING LONGITUDINAL DATA

结果是否是定期的患者报告，反复观察 研究慢性病需要疾病体征或一系列生物标记物 处理时变数据。此第二阶段SBIR赠款申请 关注个人电脑TI(发音为T-SUB-I)的持续发展 程序来分析这些数据。随着准可能性的出现， 广义估计方程，以及处理缺失数据的新方法， 可应用模型的数量显著增加，可能超过 1972年引入生存数据的考克斯模型后。我会的 为数据探索和模型验证提供图形。TI将运行 在最新版本的Windows下，使用文明软件的MLAB作为 它的编程语言，并将提供上下文相关的帮助， 相关术语词典，来自其文件条目的标识 屏幕位置，和简单的动画。 TI将允许用户分析来自两者的随时间变化的数据 使用各种模型和时间重复测量的视角 系列，其中将提供时域和频域工具。

Whether the outcomes are periodic patient reports, repeatedly-observed disease signs, or serial biomarkers, to study chronic disease requires dealing with time-varying data. this Phase II SBIR grant application concerns the continued development of TI (pronounced "T-sub-I"), a PC program to analyze such data. With the advent of quasi-likelihood, generalized estimating equations, and new ways to handle missing data, has come a striking increase in applicable models, perhaps more than after the 1972 introduction of the cox model for survival data. TI will provide graphics for data exploration and model validation. TI will run under most current version of Windows, use Civilized Software's MLAB as its programming language, and will offer context-sensitive help, a dictionary of relevant terms, identification of file entries from their screen position, and simple animation. TI will permit the user to analyze time-varying data from the two perspectives of repeated measured using a variety of models and time series where both time and frequency domain tools will be provided.