The goal of the Biostatistics and Data Management Core Facility is to provide statistical analytic collaboration and data management support members of the UNC Lineberger Comprehensive Cancer Center. Biostatistical services include research/protocol design and data analysis for clinical trials, and for epidemiologic, cancer prevention and control, and basic science studies. Data management services involve the development, integration, and management of cancer research data, particularly patient-related data. The Core is led by Drs. Michael Schell and Joseph Ibrahim. The Core adds value to the Center by providing critical analytic and data management support to the key research activities of the Cancer Center. Highlights of research supported by the Core include LCCC 9719, a 230-patient multi-center clinical trial of advanced stage lung cancer (PI: Dr. Mark Socinski), and the identification of a target recall rate for mammographers (PI: Dr. Bonnie Yankaskas). Over the past five years, the use of the Facility has grown. During the past year, a data management group has been added to the Facility, and a major database effort has been launched. Future plans for the Core include recruitment of a second full-time faculty biostatistician, further integration of Biostatistics and Statistics faculty on specific research problems requiring specialized expertise, and continued development of an integrated database system.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA016086-31
Application #
7310751
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2005-12-01
Budget End
2006-11-30
Support Year
31
Fiscal Year
2006
Total Cost
$351,441
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Malta, Tathiane M; Sokolov, Artem; Gentles, Andrew J et al. (2018) Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation. Cell 173:338-354.e15
Lund, Jennifer L; Sanoff, Hanna K; Peacock Hinton, Sharon et al. (2018) Potential Medication-Related Problems in Older Breast, Colon, and Lung Cancer Patients in the United States. Cancer Epidemiol Biomarkers Prev 27:41-49
Smith, Jennifer S; Des Marais, Andrea C; Deal, Allison M et al. (2018) Mailed Human Papillomavirus Self-Collection With Papanicolaou Test Referral for Infrequently Screened Women in the United States. Sex Transm Dis 45:42-48
Morris, Michael J; Rumble, R Bryan; Basch, Ethan et al. (2018) Optimizing Anticancer Therapy in Metastatic Non-Castrate Prostate Cancer: American Society of Clinical Oncology Clinical Practice Guideline. J Clin Oncol 36:1521-1539
Hisada, Yohei; Thålin, Charlotte; Lundström, Staffan et al. (2018) Comparison of microvesicle tissue factor activity in non-cancer severely ill patients and cancer patients. Thromb Res 165:1-5
Westmoreland, Katherine D; El-Mallawany, Nader K; Kazembe, Peter et al. (2018) Dissecting heterogeneous outcomes for paediatric Burkitt lymphoma in Malawi after anthracycline-based treatment. Br J Haematol 181:853-854
Kulis, Michael; Yue, Xiaohong; Guo, Rishu et al. (2018) High- and low-dose oral immunotherapy similarly suppress pro-allergic cytokines and basophil activation in young children. Clin Exp Allergy :
Knott, Simon R V; Wagenblast, Elvin; Khan, Showkhin et al. (2018) Asparagine bioavailability governs metastasis in a model of breast cancer. Nature 554:378-381
Wu, Jing; Frady, Lauren N; Bash, Ryan E et al. (2018) MerTK as a therapeutic target in glioblastoma. Neuro Oncol 20:92-102
Wu, Shih-Ying; Fix, Samantha M; Arena, Christopher B et al. (2018) Focused ultrasound-facilitated brain drug delivery using optimized nanodroplets: vaporization efficiency dictates large molecular delivery. Phys Med Biol 63:035002

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