Biostatistics and Data Management Core

生物统计和数据管理核心

• 批准号: 10411225
• 负责人: Diana L Miglioretti
• 金额: $ 275.13万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-27 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10411225
• 关键词: Address; Benign; Biometry; Biostatistics Core; Breast; Breast Cancer Detection; Breast Cancer Surveillance Consortium; Breast Cancer survivor; Cancer Intervention and Surveillance Modeling Network; Cessation of life; Communities; Community Practice; Complex; Data; Data Analyses; Data Collection; Data Linkages; Data Pooling; Data Set; Data Sources; Databases; Diagnostic; Digital Mammography; Effectiveness; Ensure; Ethnic group; Focus Groups; Funding; Image; Individual; Infrastructure; Interview; Link; Longitudinal cohort; Magnetic Resonance Imaging; Malignant - descriptor; Malignant Neoplasms; Mammographic screening; Mammography; Manuscripts; Measurement; Measures; Methods; Modeling; Neighborhoods; Outcome; Pathology; Pathology Report; Policies; Population Heterogeneity; Positioning Attribute; Procedures; Recording of previous events; Regional Cancer; Registries; Research; Research Design; Research Personnel; Resources; Risk; Science; Secure; Statistical Data Interpretation; Statistical Methods; System; Time; Underserved Population; Woman; Work; Writing; anticancer research; artificial intelligence algorithm; base; breast cancer diagnosis; breast imaging; cohesion; cohort; community setting; comparative effectiveness; data management; data quality; data resource; data sharing; data standards; experience; imaging facilities; improved; longitudinal database; malignant breast neoplasm; mortality; neoplasm registry; novel; programs; prospective; racial and ethnic; radiologist; risk prediction model; screening; social health determinants; sound; study population; success; surveillance imaging; surveillance strategy; tomosynthesis

PROJECT SUMMARY – Biostatistics and Data Management Core The Biostatistics and Data Management (BDM) Core will support all Projects and the Comparative Effectiveness (CE) Core by providing centralized coordination of high-quality data collection, management, analysis, and sharing. The BDM Core includes six current (5 of which will collect new data) and two new Breast Cancer Surveillance Consortium (BCSC) breast imaging registries and a central Statistical Coordinating Center (SCC). The Core will increase efficiency by providing Projects with data collected from a common cohort of women and sharing novel statistical methods performed by a single analytical support team. The specific aims are to: (1) collect, pool, manage, and share high-quality data required to meet Project aims; (2) expand the BCSC data resource by linking BCSC data to woman- and facility-level measures of social determinants of health and artificial intelligence algorithm scores; and (3) collaborate with Program investigators to implement sound and efficient study designs and perform valid statistical analyses that address each Project aim. The BDM Core will accomplish these aims using existing and new data collected on 2.9 million women (including 81,000 breast cancer survivors with surveillance imaging) from 235 current and 44 new BCSC breast imaging facilities. The BCSC registries have built strong relationships with the participating breast imaging facilities and have established secure procedures for data collection and linkage. Data will be pooled and analyzed by the SCC, which has extensive experience in data management, analyzing complex longitudinal observational data, risk prediction modeling, and developing novel statistical methods as needed to overcome the limitations of existing methods. Following the BCSC’s well-established collaborative research policies and procedures, the BDM Core will continue its successes in sharing data with the broader research community. Using the unique set of resources available to the BCSC—our established and cohesive research network; integrated surveillance system of longitudinal, individual-level data on women, radiologists, and facilities; infrastructure for accessing well-characterized study populations; and expertise in statistical methods and outcomes measurement in community settings—the BCSC registries and SCC will continue working together to support this Program project in answering key questions that cannot be addressed otherwise. These combined strengths ideally position the Program’s research teams to determine the most effective breast cancer screening and surveillance strategies in community practice.

项目摘要-生物统计学和数据管理核心 生物统计和数据管理（BDM）核心将通过集中协调高质量的数据收集、管理、分析和共享，支持所有项目和比较有效性（CE）核心。BDM核心包括6个当前（其中5个将收集新数据）和2个新的乳腺癌监测联盟（BCSC）乳腺成像登记研究和一个中央统计协调中心（SCC）。核心将通过向项目提供从一个共同的妇女群体收集的数据，并分享由一个单一的分析支持小组执行的新的统计方法，提高效率。具体目标是：（1）收集，汇集，管理和共享满足项目目标所需的高质量数据;（2）通过将BCSC数据与健康和人工智能算法分数的社会决定因素的妇女和设施级措施联系起来，扩展BCSC数据资源;（3）与计划调查人员合作，实施合理有效的研究设计，并执行有效的统计分析，以解决每个项目目标。BDM核心将利用从235个现有和44个新的BCSC乳腺成像设施收集的290万妇女（包括81，000名乳腺癌幸存者）的现有和新数据来实现这些目标。BCSC登记研究与参与的乳腺成像机构建立了牢固的关系，并建立了数据收集和链接的安全程序。SCC将汇总和分析数据，SCC在数据管理、分析复杂的纵向观察数据、风险预测建模以及根据需要开发新的统计方法以克服现有方法的局限性方面拥有丰富的经验。根据BCSC完善的合作研究政策和程序，BDM核心将继续与更广泛的研究界分享数据。利用BCSC现有的独特资源集-我们建立的和有凝聚力的研究网络;关于妇女，放射科医生和设施的纵向，个人水平数据的综合监测系统;访问特征良好的研究人群的基础设施;以及在社区环境中统计方法和成果衡量方面的专业知识-BCSC登记册和SCC将继续合作，以支持该计划项目回答无法通过其他方式解决的关键问题。这些综合优势使该计划的研究团队能够在社区实践中确定最有效的乳腺癌筛查和监测策略。