The Biostatistics Shared Resource (BSR) is a core group of the UC Davis Comprehensive Cancer Center (UCDCCC). We support the research mission of the Cancer Center by providing expert consultation to investigators on the design, analysis, interpretation, and reporting of cancer-related studies. The BSR interacts broadly across the spectrum of research interests and partners from basic through translational, clinical and population cancer studies. Our group's biostatistics expertise spans the range necessary for this spectrum, including statistics for molecular biosciences, animal study design, clinical trials, community interventions, and large-scale administrative databases like the Cancer Registry. The BSR not only provides direct services but also serves as a clearinghouse, together with the Division of Biostatistics and the Clinical and Translational Science Center's biostatistics team, to leverage additional resources to meet the growing statistics needs of the UCDCCC, all six Cores, and all Shared Resources. We support the UCDCCC through all stages of research: we provide expert assistance with study design, statistical analysis, summary of findings, and presentation to the scientific community and the public. We interact with all Programs and all Shared Resources. We participate in the administration and management of Cancer Center research activities: the BSR director attends Senior Management meetings and is a reviewer and voting member of the Scientific Review committee for clinical research, and Dr. Qi participates in protocol review for all institutional clinical trials. We offer both formal teaching (podium courses, lectures, and workshops) and informal mentoring (serving as major professor, committee members, and training grant mentors) in biostatistics applications for medical research to cancer researchers. BSR members are innovators in biostatistical methods for cancer research. BSR members have contributed to new statistical methods for biomarker discovery, especially for high throughput assays (metabolomics, glycomics, miRNA). We also are leaders in the area of longitudinal studies of biological and functional change markers and in survival analysis and clinical trials. We adhere to best practices for reproducible research, including sharing of code and methods. Our support of the UCDCCC is highly efficient, leveraging institutional and CTSC support to extend the funding directly provided by the CCSG to provide free support for study design, pilot awards, and mentoring and training of new cancer researchers. Our recharge fees offer researchers a moderately priced alternative to other potential statistical services both within and outside the university.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA093373-18
Application #
9993292
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2020-07-01
Budget End
2021-06-30
Support Year
18
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California Davis
Department
Type
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
Li, Peng-Cheng; Tu, Mei-Juan; Ho, Pui Yan et al. (2018) Bioengineered NRF2-siRNA Is Effective to Interfere with NRF2 Pathways and Improve Chemosensitivity of Human Cancer Cells. Drug Metab Dispos 46:2-10
Lucchesi, Christopher A; Zhang, Jin; Ma, Buyong et al. (2018) Disruption of the Rbm38-eIF4E complex with a synthetic peptide Pep8 increases p53 expression. Cancer Res :
Kiuru, Maija; Tartar, Danielle M; Qi, Lihong et al. (2018) Improving classification of melanocytic nevi: Association of BRAF V600E expression with distinct histomorphologic features. J Am Acad Dermatol 79:221-229
Pargett, Michael; Albeck, John G (2018) Live-Cell Imaging and Analysis with Multiple Genetically Encoded Reporters. Curr Protoc Cell Biol 78:4.36.1-4.36.19
Fishman, Scott M; Carr, Daniel B; Hogans, Beth et al. (2018) Scope and Nature of Pain- and Analgesia-Related Content of the United States Medical Licensing Examination (USMLE). Pain Med 19:449-459
Lewis, Daniel D; Chavez, Michael; Chiu, Kwan Lun et al. (2018) Reconfigurable Analog Signal Processing by Living Cells. ACS Synth Biol 7:107-120
Braithwaite, Dejana; Miglioretti, Diana L; Zhu, Weiwei et al. (2018) Family History and Breast Cancer Risk Among Older Women in the Breast Cancer Surveillance Consortium Cohort. JAMA Intern Med 178:494-501
Unger, Jakob; Sun, Tianchen; Chen, Yi-Ling et al. (2018) Method for accurate registration of tissue autofluorescence imaging data with corresponding histology: a means for enhanced tumor margin assessment. J Biomed Opt 23:1-11
Winer, Rachel L; Tiro, Jasmin A; Miglioretti, Diana L et al. (2018) Rationale and design of the HOME trial: A pragmatic randomized controlled trial of home-based human papillomavirus (HPV) self-sampling for increasing cervical cancer screening uptake and effectiveness in a U.S. healthcare system. Contemp Clin Trials 64:77-87
Wang, Guobao; Corwin, Michael T; Olson, Kristin A et al. (2018) Dynamic PET of human liver inflammation: impact of kinetic modeling with optimization-derived dual-blood input function. Phys Med Biol 63:155004

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