Geostatistical software for detection of cancer

用于癌症检测的地统计软件

基本信息

批准号：
6832324
负责人：
PIERRE E GOOVAERTS
金额：
$ 9.99万
依托单位：
BIOMEDWARE
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-09-03 至 2005-08-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): The overall objective of this project is to develop the first GIS-based software to offer tools that are specifically designed for the space-time analysis and detection of cancer disparities, providing: description of spatial patterns of cancer incidence and mortality rates and identification of scales of variability, spatial smoothing and filtering to correct for statistical instability caused by the smaller size of minority populations, detection of clusters and hotspots of significantly high or low health disparities, and visualization of changes in disparity through time. This product will allow the investigation and visualization of relationships between health disparity data and potential factors, such as environmental or occupational exposures, socio-economic conditions, leading to: (1) a better understanding of the causes underlying observed racial disparities in cancer incidence, mortality and morbidity (i.e. cancer epidemiology), and (2) long-term quantification of the benefits of current strategies for reducing the disproportionate incidence of cancer morbidity and mortality among minorities and the medically underserved in the United States. Instructional materials will be developed to promote the use of this relatively new methodology among health scientists. Phase I of the project will: a) Build on a firm foundation of completed simulation studies to further demonstrate and evaluate the ability of geostatistics to filter spatially varying noise, in particular for minority populations that commonly display drastic variations among geographical units. b) Develop statistical tests to detect significant differences in cancer rates among sub-populations, and use Local Indicators of Spatial Autocorrelation (LISA) to identify clusters and local anomalies of health disparities. c) Develop and test software prototype to perform the small number correction and detection of health disparities.

DESCRIPTION (provided by applicant): The overall objective of this project is to develop the first GIS-based software to offer tools that are specifically designed for the space-time analysis and detection of cancer disparities, providing: description of spatial patterns of cancer incidence and mortality rates and identification of scales of variability, spatial smoothing and filtering to correct for statistical instability caused by the smaller size of minority populations, detection of clusters and hotspots of significantly high or low health差异和随时间变化的可视化变化。该产品将允许调查和可视化健康差异数据与潜在因素之间的关系，例如环境或职业暴露，社会经济状况，导致：（1）更好地理解癌症发生率，死亡率和发病率（即癌症流行病学）的癌症发生率，死亡率和发病率的癌症量的长期量化的癌症量的癌症量的癌症量的癌症量的癌症量的癌症的成果的成果的典型量化量的癌症的病情的差异（即）更好地理解。在美国，少数民族和医学上贫乏的发病率和死亡率。将开发教学材料，以促进健康科学家中这种相对较新的方法的使用。该项目的第一阶段将： a）建立在完整的模拟研究基础上，以进一步证明和评估地统计学滤除空间变化的噪声的能力，尤其是对于通常在地理单位之间表现出巨大变化的少数族裔人群。 b）开发统计检验，以检测亚种群中癌症率的显着差异，并使用局部空间自相关指标（LISA）来识别簇和局部健康差异的异常。 c）开发和测试软件原型以执行少量校正和检测健康差异。