The Public Health Sciences Computing Shared Resource investigates, creates, tests, and configures software and/or hardware technologies with the goal of providing new and richer tools for epidemiologic and clinical trials prevention and methodology research, as well as to develop a core knowledge base for the new technologies that new research initiatives will demand. The unit explores and provides test ground for conversion to hew hardware technology, such as platform evaluations for computationally intensive modeling. In direct support of peer-reviewed research, staff members help with data conversions; they research and test methods of providing secure environments to collect and analyze data, and they are direct involved in evaluation and testing of different techniques of data gathering, data management, data analysis, and reporting. The unit also develops statistical software and user interfaces for new computationally intensive methods for the exploration of large clinical and epidemiological studies. Other statistical software development includes flexible interactive programs for the design of Phase II and Phase III clinical trials.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA015704-28
Application #
6443316
Study Section
Project Start
2001-04-04
Project End
2001-12-31
Budget Start
Budget End
Support Year
28
Fiscal Year
2001
Total Cost
$188,233
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
075524595
City
Seattle
State
WA
Country
United States
Zip Code
98109
Herman, Daniel S; Smith, Christina; Liu, Chang et al. (2018) Efficient Detection of Copy Number Mutations in PMS2 Exons with a Close Homolog. J Mol Diagn 20:512-521
Birnbaum, Jeanette K; Duggan, Catherine; Anderson, Benjamin O et al. (2018) Early detection and treatment strategies for breast cancer in low-income and upper middle-income countries: a modelling study. Lancet Glob Health 6:e885-e893
Partridge, Emma K; Neuhouser, Marian L; Breymeyer, Kara et al. (2018) Comparison of Nutrient Estimates Based on Food Volume versus Weight: Implications for Dietary Assessment Methods. Nutrients 10:
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