Biostatistics and bioinformatics support of environmental health research requires increasingly skilled and specialized methods. High quality data and analysis contributes to the overall potential for high quality, statistically sound research. The Biostatistics and Bioinformatics Core will be a powerful unifying force in the DISCOVER Center by engaging in interdisciplinary interactions, supporting multiple projects and databases, and providing biostatistics, bioinformatics, and database management support. Biostatistics support will be in the areas of epidemiology, spatial modeling, and experimental design/analysis. The bioinformatics needs of the genetic epidemiology, functional genomics, and proteomics portions of the studies will be met either directly by this Core or by leveraging resources of the Bioinformatics Core of the Center for Ecogenetics and Environmental Health (CEEH). The Core services and activities are: 1. Statistical consultation for all projects and investigators. This includes consultation on study design, sample size calculations, data collection and analysis, and interpretation of study results; 2. Data management for selected the DISCOVER Center projects; 3. Data compilation from existing databases; 4. Bioinformatics support and liaison to CEEH; 5. Communicate and disseminate Center findings;and 6. Identification of topics for statistical methods development and innovative approaches to statistical analyses. This Core will serve all projects.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Specialized Center (P50)
Project #
5P50ES015915-05
Application #
8376281
Study Section
Special Emphasis Panel (ZES1-JAB-C)
Project Start
Project End
2014-05-31
Budget Start
2012-06-01
Budget End
2013-05-31
Support Year
5
Fiscal Year
2012
Total Cost
$239,818
Indirect Cost
$82,137
Name
University of Washington
Department
Type
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
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Spalt, Elizabeth W; Curl, Cynthia L; Allen, Ryan W et al. (2016) Factors influencing time-location patterns and their impact on estimates of exposure: the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air). J Expo Sci Environ Epidemiol 26:341-8
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