The Biometrics Core (formerly the Biostatistics Core) provides the infrastructure that facilitates an organized, synergistic, and centralized approach to statistics in HIV/AIDS research at the University of Washington (UW) and the Fred Hutchinson Cancer Research Center (FHCRC). In particular, the Core provides advanced statistical methods and expertise in the design, conduct and analysis of clinical research and laboratory studies to CFAR investigators. The Biometrics Core also provides a crucial link between CFAR biomedical researchers and the large number of biostatistics and other quantitative sciences faculty at the University of Washington and the Fred Hutchinson Cancer Research Center who are developing new methods for HIV/AIDS research. The CFAR clinical, behavioral, and laboratory researchers using the Core provide datasets for analysis which motivate the development of new quantitative methods by biostatisticians, biomathematicians, engineers and computer scientists at UW and FHCRC. Hence, this link benefits CFAR investigators as well as academic quantitative science researchers. To promote and facilitate these multidisciplinary interactions the Biometrics Core: 1) provides statistical and mathematical collaboration and consultation on study design, forms design, evaluation and pre-testing, data analysis, interpretation and reporting; coordinates Data Safety and Monitoring Boards; provides data management services; maintains computing facilities that are available (both on site and by remote login) to any CFAR investigator; 2) sponsors and conducts training activities designed to disseminate statistical skills to CFAR investigators, inform the HIV/AIDS researchers about services available from the Biometrics Core, and introduce novel quantitative approaches to the UW/FHCRC CFAR community, 3) serves as a liaison between the Core user with advanced quantitative needs and experts from the UW Departments of Biostatistics, Statistics, Mathematics, and Applied Mathematics, and the FHCRC Program in Biostatistics and Biomathematics; 4) develops, adapts and/or implements new or novel statistical and mathematical methods as needed; and 5) organizes activities that promote communication among existing statisticians in HIV/AIDS research and interest from other biostatisticians that can be recruited to meet the growing demand of AIDS research.

Public Health Relevance

The Biometrics Core provides statistical support and training/mentoring for UW/FHCRC investigators. This includes collaboration on the design and implementation of studies, study reporting and analysis and interpretation of study data. The Core utilizes both standard statistical approaches as well as identifying and developing novel approaches for complex data sets when needed.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Center Core Grants (P30)
Project #
5P30AI027757-28
Application #
8889582
Study Section
Special Emphasis Panel (ZAI1)
Project Start
Project End
2016-05-31
Budget Start
2015-06-01
Budget End
2016-05-31
Support Year
28
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of Washington
Department
Type
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Hamilton, Deven T; Goodreau, Steven M; Jenness, Samuel M et al. (2018) Potential Impact of HIV Preexposure Prophylaxis Among Black and White Adolescent Sexual Minority Males. Am J Public Health 108:S284-S291
Bilal, Usama; McCaul, Mary E; Crane, Heidi M et al. (2018) Predictors of Longitudinal Trajectories of Alcohol Consumption in People with HIV. Alcohol Clin Exp Res 42:561-570
Morgan, Ethan; Skaathun, Britt; Duvoisin, Rebeccah et al. (2018) Are HIV Seroconversions Among Young Men Who Have Sex With Men Associated With Social Network Proximity to Recently or Long-Term HIV-Infected Individuals? J Acquir Immune Defic Syndr 77:128-134
Wagner, Anjuli D; Njuguna, Irene N; Neary, Jillian et al. (2018) Financial Incentives to Increase Uptake of Pediatric HIV Testing (FIT): study protocol for a randomised controlled trial in Kenya. BMJ Open 8:e024310
Beima-Sofie, Kristin; Wamalwa, Dalton; Maleche-Obimbo, Elizabeth et al. (2018) Toll-like receptor 9 polymorphism is associated with increased Epstein-Barr virus and Cytomegalovirus acquisition in HIV-exposed infants. AIDS 32:267-270
Balkus, Jennifer E; Brown, Elizabeth R; Palanee-Phillips, Thesla et al. (2018) Performance of a Validated Risk Score to Predict HIV-1 Acquisition Among African Women Participating in a Trial of the Dapivirine Vaginal Ring. J Acquir Immune Defic Syndr 77:e8-e10
AIDS-defining Cancer Project Working Group of IeDEA, COHERE in EuroCoord (2018) Non-Hodgkin lymphoma risk in adults living with HIV across five continents. AIDS 32:2777-2786
Morgan, Ethan; Skaathun, Britt; Schneider, John A (2018) Sexual, Social, and Genetic Network Overlap: A Socio-Molecular Approach Toward Public Health Intervention of HIV. Am J Public Health 108:1528-1534
Fredericksen, R J; Gibbons, L; Brown, S et al. (2018) Medication understanding among patients living with multiple chronic conditions: Implications for patient-reported measures of adherence. Res Social Adm Pharm 14:540-544
Liu, Amy Y; De Rosa, Stephen C; Guthrie, Brandon L et al. (2018) High background in ELISpot assays is associated with elevated levels of immune activation in HIV-1-seronegative individuals in Nairobi. Immun Inflamm Dis 6:392-401

Showing the most recent 10 out of 1275 publications