The Biostatistics Core (BC) provides statistical expertise to support study design and data analysis for basic, translational, clinical, and population research at the COHCCC. Areas of expertise include clinical trials;epidemiology;genetics and functional genomics;pharmacokinetic modeling;assays, bioassays, and diagnostics;and animal toxicology testing;as well general statistical methods for data summary, inference, and prediction. The faculty statisticians of the core collaborate in pilot projects, grant proposals, clinical protocols, and publications. Staff statisticians provide additional support, focusing on statistical computing, including the retrieval of data from a variety of databases. The collaborative activities of BC statisticians cover the entire life cycle of a research project, from study design and proposal writing, through monitoring and interim analysis, to final data analyses, statistical graphics and manuscript writing. In addition to supporting collaborative research, the core provides short-term consulting and case-finding services for investigators. Statisticians work closely with the Clinical Protocol and Data Management Core (CPDMC) to ensure that clinical trials are equipped with appropriate case-report forms, databases, and electronic data capture tools. The BC also works closely with the Bioinformatics Core to provide both routine and specialized analysis of functional genomics data. Retrospective studies are often supported by retrieval of data from the COH Cancer Registry, the HSC Transplant database, or other research and clinical repositories. The core provides expertise and access to statistical software such as SAS, JMP, Splus, R, StatXact/LogXact, East, and Nquery, as well as specialized statistical computing tools for microarrays, RNA sequence, human and experimental genetic studies, pharmacokinetics, and clinical trials. Core statisticians provide the Cancer Center with statistical reviews of clinical research protocols, and service on the Cancer Protocol Review and Monitoring Committee (CPRMC), the Institutional Review Board (IRB), and the Data and Safety Monitoring Committee (DSMC). The staff of the BC includes a large part of the Division of Biostatistics, within the Department of Information Science, and the BC enables their participation in Cancer Center-related pilot projects and proposals, which may later develop into externally funded projects. Between 7/1/10 and 6/30/11, the BC was used by 116 principal investigators, 75 of whom are CC members. The BC staff coauthored 33 peer-reviewed cancer-related publications in 2010, and co-authored another 42 by the third quarter of 2011. '

Public Health Relevance

The overall goal of the Biostatistics core facility is to provide statistical expertise for study design and data analysis for basic, translational, clinical and population research. Highly trained facility statisticians collaborate with cancer center investigators for the entire life cycle of the research project, from design to final analyses. This goal enhances the Cancer Center's dedication to developing innovative new disease fighting strategies in the battle against cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA033572-31
Application #
8764853
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2013-12-01
Budget End
2014-11-30
Support Year
31
Fiscal Year
2014
Total Cost
$140,153
Indirect Cost
$56,728
Name
City of Hope/Beckman Research Institute
Department
Type
DUNS #
027176833
City
Duarte
State
CA
Country
United States
Zip Code
91010
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Leung, Amy; Trac, Candi; Kato, Hiroyuki et al. (2018) LTRs activated by Epstein-Barr virus-induced transformation of B cells alter the transcriptome. Genome Res 28:1791-1798
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Romsdahl, Jillian; Blachowicz, Adriana; Chiang, Abby J et al. (2018) Characterization of Aspergillus niger Isolated from the International Space Station. mSystems 3:
Sen, Subha; He, Zhiheng; Ghosh, Shubhamoy et al. (2018) PRMT1 Plays a Critical Role in Th17 Differentiation by Regulating Reciprocal Recruitment of STAT3 and STAT5. J Immunol 201:440-450

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