课题基金 / 基金详情

CORE--Data Management, Statistics, and Modeling

CORE--Data Management, Statistics, and Modeling
核心——数据管理、统计和建模
批准号:
6960235
负责人:
HOWARD F. ANDREWS
金额:
$9.17万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-05-07 至 2008-10-31

项目摘要

项目成果

HOWARD F. ANDREWS的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The Data Management, Statistics and Community Modeling (DSM) Core is the central resource for all statistical and data management needs of the Columbia Center for Children's Environmental Health (CCCEH). The Core has forged a strong alliance with West Harlem Environmental Action Coalition (WE_ACT) that brings together complementary technical expertise from the two groups, supports WEACT's environmental advocacy on behalf of the community, provides a vehicle for dissemination of community-level environmental information, and advances the Center's scientific goals. The Core has also developed a new collaboration with the Columbia University Center for International Earth Science Information Network (CIESIN) to develop the GIS for New York City and related studies in Poland and China. The DSM Core will serve the Center by pursuing the following specific aims. Specific Aim 1: to provide the centralized resource for all data management needs, including database design, implementation and modification; data entry and verification; data retrieval for statistical analysis and report generation; and maintenance of data security and confidentiality. Specific Aim 2: to plan, coordinate and oversee all statistical analysis and provide statistical review of all publications for the research projects, including interventions. To advise continually on, and thereby enhance, the conduct of Center research in keeping with the highest standards of research design, data quality and statistical analysis. Specific Aim 3: in collaboration with our WEACT and CIESIN partners, to continue to acquire and update federal and local, housing, demographic, developmental and health data for the cohort study area and New York City, and continue to build the GIS infrastructure for mapping and spatial analysis of these data. Specific Aim 4. In consultation with investigators of center cores and projects, conduct multi-level statistical analyses to test specified hypotheses regarding the impact of community-level effects on individual outcomes. Specific Aim 5. In collaboration with COTAC, use the findings emerging from the multi-level modeling of toxicant effects (specific aim 5) to develop environmental and economic impact statements and inform public health policy.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Vitamin E Trial in Persons with Down Syndrome: Sharing Data with the Research Community
Data Management and Statistical Core
Data Management and Statistical Core
USING LONGITUDINAL DATA TO CHARACTERIZE THE NATURAL HISTORY OF FRAGILE X SYNDROME TO IMPROVE SERVICES
海外基金