Biostatistics ? The Cancer Center Biostatistics Shared Resource supports the statistical needs of the Moores UCSD Cancer Center in study planning and design, data analysis and modeling, manuscript and grant preparation, and short and long term biomathematical and statistical collaboration with cancer researchers. The Cancer Center Biostatistics Resource is a cohesive group of faculty and staff statisticians with dedicated percent effort to the Cancer Center and long-term interest in cancer-related methodology. Through service, collaboration and outreach, the Cancer Center Biostatistics Resource ensures that statistical practice at Moores UCSD Cancer Center is of a uniformly high standard. Services include timely access to short term statistical consultation """"""""on demand"""""""";flexible access to high quality statistical expertise for medium-term projects;and the fostering of long term collaboration between other Cancer Center researchers and faculty and staff in the Biostatistics Resource. The Cancer Center Biostatistics Resource currently consists of six faculty members from the Division of Biostatistics in the Department of Family and Preventive Medicine, and nine staff members at the Ph D. and MS level. In addition, two recently retired members continue to participate on a part-time basis. Three faculty and six staff members are located in close proximity to each other on the third floor of the Cancer Center, where there is a well defined Biostatistics suite with prominent signage. Together, faculty and staff currently represent 7 FTE dedicated to the Cancer Center, and are included as co-authors on 110 cancerrelated publications since 2001.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
3P30CA023100-27S9
Application #
8530407
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2011-05-01
Budget End
2013-04-30
Support Year
27
Fiscal Year
2013
Total Cost
$312,770
Indirect Cost
$107,992
Name
University of California San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Connor, Michael; Karunamuni, Roshan; McDonald, Carrie et al. (2017) Regional susceptibility to dose-dependent white matter damage after brain radiotherapy. Radiother Oncol 123:209-217
Ly, Peter; Teitz, Levi S; Kim, Dong H et al. (2017) Selective Y centromere inactivation triggers chromosome shattering in micronuclei and repair by non-homologous end joining. Nat Cell Biol 19:68-75
Sundaramoorthy, Sriramkumar; Garcia Badaracco, Adrian; Hirsch, Sophia M et al. (2017) Low Efficiency Upconversion Nanoparticles for High-Resolution Coalignment of Near-Infrared and Visible Light Paths on a Light Microscope. ACS Appl Mater Interfaces 9:7929-7940
D'Antonio, Matteo; Woodruff, Grace; Nathanson, Jason L et al. (2017) High-Throughput and Cost-Effective Characterization of Induced Pluripotent Stem Cells. Stem Cell Reports 8:1101-1111
Guo, Shicheng; Diep, Dinh; Plongthongkum, Nongluk et al. (2017) Identification of methylation haplotype blocks aids in deconvolution of heterogeneous tissue samples and tumor tissue-of-origin mapping from plasma DNA. Nat Genet 49:635-642
Jiang, Qingfei; Crews, Leslie A; Holm, Frida et al. (2017) RNA editing-dependent epitranscriptome diversity in cancer stem cells. Nat Rev Cancer 17:381-392
Krishnan, A P; Karunamuni, R; Leyden, K M et al. (2017) Restriction Spectrum Imaging Improves Risk Stratification in Patients with Glioblastoma. AJNR Am J Neuroradiol 38:882-889
Martínez, María Elena; Gomez, Scarlett L; Tao, Li et al. (2017) Contribution of clinical and socioeconomic factors to differences in breast cancer subtype and mortality between Hispanic and non-Hispanic white women. Breast Cancer Res Treat 166:185-193
Connor, Michael J; Marshall, Deborah C; Moiseenko, Vitali et al. (2017) Adverse Events Involving Radiation Oncology Medical Devices: Comprehensive Analysis of US Food and Drug Administration Data, 1991 to 2015. Int J Radiat Oncol Biol Phys 97:18-26
Panopoulos, Athanasia D; D'Antonio, Matteo; Benaglio, Paola et al. (2017) iPSCORE: A Resource of 222 iPSC Lines Enabling Functional Characterization of Genetic Variation across a Variety of Cell Types. Stem Cell Reports 8:1086-1100

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