PROVIDE SERVICES FOR STATISTICAL METHODS FOR THE ANALYSIS OF SPATIAL AND TEMPORAL PATTERNS IN CANCER DATA

癌症数据空间和时间模式分析的统计方法-监视研究计划(SRP)开发了一系列统计方法，用于分析癌症数据的空间模式。其中包括空间扫描统计量(SATScan)、空间异常值检测工具(MGPS)、基于中位数的空间平滑器(Headbang)和癌症发病率的时空模型。SRP还开发了许多统计方法来检测癌症监测数据中的非空间模式，如Joinpoint，这是一种用于检测时间趋势变化的线性样条工具。SRP目前在许多方面使用这些工具进行癌症监测和报告活动。也有兴趣将数据可视化和实验设计技术应用于质量控制可靠性研究。

Statistical Methods for the Analysis of Spatial and Temporal Patterns in Cancer Data-The Surveillance Research Program (SRP) has developed a series of statistical methods for the analysis of spatial patterns in cancer data. These include a spatial scan statistic (SaTScan), a spatial outlier detection tool (MGPS), a median-based spatial smoother (Headbang), and a spatial-temporal model of cancer incidence. SRP has also developed a number of statistical methods to detect non-spatial patterns in cancer surveillance data like Joinpoint, a linear spline tool to detect changes in temporal trends. SRP currently uses these tools in many ways for cancer surveillance and reporting activities. There is also interest in applying data visualization and experimental design techniques to quality control reliability studies.