Cancer Surveillance Trend Estimates from Multiple Data Sets

来自多个数据集的癌症监测趋势估计

• 批准号: 8761299
• 负责人: HEATHER LEWIS
• 金额: $ 4.01万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-17 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8761299
• 关键词: Area; Behavior; Cancer Control; Cancer Control Research; Cancer Surveillance Research; Cancer Surveillance Research Program; Collaborations; Communities; County; Data; Data Set; Databases; Development; Documentation; Extramural Activities; Future; Intervention; Malignant Neoplasms; Methodology; Methods; Mission; Modeling; Prevalence; Research; Risk Factors; Statistical Methods; Statistical Models; Surveys; base; cancer risk; cancer statistics; improved; insight; mathematical model; population based; screening; trend; web site

The Statistical Methodology and Applications Branch (SMAB) of the Surveillance Research Program (SRP) conducts and supports statistical research, modeling, and collaboration related to the cancer surveillance and cancer control missions of the NCI. Essential corollaries to the development of cancer surveillance databases and cancer control interventions are the statistical analyses and mathematical modeling that contribute insight into the interpretation of these data. Research within SMAB is targeted at improving and developing statistical methods and models for use in the analysis and presentation of population-based cancer statistics, as well as in the broader areas of cancer surveillance and cancer control research. SMAB promotes and facilitates the use of these methods and models at NCI, in other federal agencies, as well as throughout the extramural research community. Cancer surveillance research requires estimates of the prevalence of cancer risk factors and screening behaviors for small geographical areas such as counties. Small area estimates require the use of statistical models. Small area estimates using a model-based approach have been previously developed (Raghunathan et al., 2007). These estimates and supporting documentation have been placed on a website (http://sae.cancer.gov) which was launched in May, 2010.

监测研究计划 (SRP) 的统计方法和应用部门 (SMAB) 开展并支持与 NCI 的癌症监测和癌症控制任务相关的统计研究、建模和协作。癌症监测数据库和癌症控制干预措施发展的基本推论是统计分析和数学模型，有助于深入了解这些数据的解释。 SMAB 的研究目标是改进和开发统计方法和模型，用于分析和呈现基于人群的癌症统计数据，以及更广泛的癌症监测和癌症控制研究领域。 SMAB 在 NCI、其他联邦机构以及整个校外研究界推广和促进这些方法和模型的使用。 癌症监测研究需要估计癌症危险因素的患病率以及小地理区域（例如县）的筛查行为。小面积估计需要使用统计模型。先前已经开发了使用基于模型的方法进行小面积估计（Raghunathan 等，2007）。这些估计和支持文件已发布在 2010 年 5 月推出的网站 (http://sae.cancer.gov) 上。