ASTRACT - Biostatistics (BIOS) Shared Resource The principal objective of the Biostatistics (BIOS) SR Facility is to provide the highest level possible of quality statistical consultation services to UNC?s Lineberger Comprehensive Cancer Center (LCCC) members. BIOS provides Cancer Center members support for the design, conduct, analysis, and generation of manuscripts for their research. BIOS adds value to the LCCC through close collaboration with multiple center members providing invaluable expertise for their research. Areas of expertise in support of future use by LCCC members include clinical trials and other forms of clinical research, computational biology, genomics, genetics, cancer epidemiology, quality of life, outcomes, and other forms of population sciences research. BIOS also provides service and leadership on complex and multi-component applications such as SPORE and Program Project grants and investigator initiated trials. BIOS SR?s service and leadership on the Protocol Review, Data and Safety Monitoring Committees greatly benefits LCCC member research efforts. Highlights of statistical science that directly benefits LCCC member-related research include: a novel approach to unsupervised screening of genetic loci across RNA-seq cohorts, sampling helps understand organizational correlates of adolescent immunization, clinical trialists benefit from advances in statistical approaches in oncology drug development and efficient designs for phase II oncology trials with ordinal outcome, and statistical methods for high-throughput sequencing technology in DAE-seq (DNA after enrichment sequencing) data analysis improves results. In 2014, 10,775 hours of consultative and other biostatical services were utilized. Since 2010, the BIOS user group grew and diversified, particularly those members needing assistance with statistical methods for basic science/genomic, clinical/translational, and population sciences research. Requested CCSG funding is $288,650, representing 30% of projected operating costs. The BIOS SR plans to expand statistical areas of expertise to meet the expected and growing needs of Cancer Center members.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA016086-43
Application #
9614909
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2018-12-01
Budget End
2019-11-30
Support Year
43
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Gourevitch, Rebecca A; Rose, Sherri; Crockett, Seth D et al. (2018) Variation in Pathologist Classification of Colorectal Adenomas and Serrated Polyps. Am J Gastroenterol 113:431-439
Park, Eliza M; Deal, Allison M; Yopp, Justin M et al. (2018) Understanding health-related quality of life in adult women with metastatic cancer who have dependent children. Cancer 124:2629-2636
Kasoji, Sandeep K; Rivera, Judith N; Gessner, Ryan C et al. (2018) Early Assessment of Tumor Response to Radiation Therapy using High-Resolution Quantitative Microvascular Ultrasound Imaging. Theranostics 8:156-168
Klein, Brianna J; Krajewski, Krzysztof; Restrepo, Susana et al. (2018) Recognition of cancer mutations in histone H3K36 by epigenetic writers and readers. Epigenetics 13:683-692
Brewer, Noel T; Hall, Marissa G; Noar, Seth M (2018) Pictorial cigarette pack warnings increase quitting: a comment on Kok et al. Health Psychol Rev 12:129-132
Birken, Sarah A; Rohweder, Catherine L; Powell, Byron J et al. (2018) T-CaST: an implementation theory comparison and selection tool. Implement Sci 13:143
Ghosh, Arunava; Coakley, Raymond C; Mascenik, Teresa et al. (2018) Chronic E-Cigarette Exposure Alters the Human Bronchial Epithelial Proteome. Am J Respir Crit Care Med 198:67-76
Guseman, Alex J; Speer, Shannon L; Perez Goncalves, Gerardo M et al. (2018) Surface Charge Modulates Protein-Protein Interactions in Physiologically Relevant Environments. Biochemistry 57:1681-1684
Bhatt, Aadra P; Gunasekara, Dulan B; Speer, Jennifer et al. (2018) Nonsteroidal Anti-Inflammatory Drug-Induced Leaky Gut Modeled Using Polarized Monolayers of Primary Human Intestinal Epithelial Cells. ACS Infect Dis 4:46-52
Diekman, Brian O; Sessions, Garrett A; Collins, John A et al. (2018) Expression of p16INK4a is a biomarker of chondrocyte aging but does not cause osteoarthritis. Aging Cell :e12771

Showing the most recent 10 out of 1525 publications