The goals of the Biostatistics. Analytic Support and Evaluation (BASE) Shared Resource are to provide high-quality service and collaboration with Cancer Center members who require biostatistical assistance in these study components: Design of studies, including data management aspects of studies Monitoring of the implementation of studies, including adherence to the approved protocol, review of protocol amendments, data acquisition issues and accrual Development of data analysis protocols, including statistical modeling of data in designed studies, assessment of the initial data analysis plan, and necessary modifications of the plan Responsibility, when agreed upon with Cancer Center members, to carry out planned and alternative data analyses including, where appropriate, guidance for detailed conduct of the analyses Preparation of manuscripts, especially biostatistical results, methodology and interpretation of the data analysis results Availability of necessary computer equipment and software for computerized data analysis and management, which the BASE Unit maintains for general biostatistical methodology and supporting specialty areas such as pharmacokinetics, tissue array, microarray gene expression, clinical trials, imaging (especially for brain tumors), and repeated measures. Please also see Section 6.2.3 on Shared Resources in the History, Description, Essential Characteristics. 45 Cancer Center members representing 11 Cancer Center Program Areas utilized the services of the BASE Shared Resource during the reporting period. This is a continuing shared resource.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA016042-37
Application #
8374558
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2011-12-01
Budget End
2012-11-30
Support Year
37
Fiscal Year
2012
Total Cost
$343,891
Indirect Cost
$66,853
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Wu, Sheng; Wong, Weng Kee; Crespi, Catherine M (2017) Maximin optimal designs for cluster randomized trials. Biometrics 73:916-926
Douaisi, Marc; Resop, Rachel S; Nagasawa, Maho et al. (2017) CD31, a Valuable Marker to Identify Early and Late Stages of T Cell Differentiation in the Human Thymus. J Immunol 198:2310-2319
Qi, Hangfei; Chu, Virginia; Wu, Nicholas C et al. (2017) Systematic identification of anti-interferon function on hepatitis C virus genome reveals p7 as an immune evasion protein. Proc Natl Acad Sci U S A 114:2018-2023
Lu, Jianqin; Liu, Xiangsheng; Liao, Yu-Pei et al. (2017) Nano-enabled pancreas cancer immunotherapy using immunogenic cell death and reversing immunosuppression. Nat Commun 8:1811
Castaneda, Julie T; Harui, Airi; Roth, Michael D (2017) Regulation of Cell Surface CB2 Receptor during Human B Cell Activation and Differentiation. J Neuroimmune Pharmacol 12:544-554
Casillas, Jacqueline; Goyal, Anju; Bryman, Jason et al. (2017) Development of a text messaging system to improve receipt of survivorship care in adolescent and young adult survivors of childhood cancer. J Cancer Surviv 11:505-516
Su, Yapeng; Wei, Wei; Robert, Lidia et al. (2017) Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance. Proc Natl Acad Sci U S A 114:13679-13684
Demer, Linda L; Tintut, Yin; Nguyen, Kim-Lien et al. (2017) Rigor and Reproducibility in Analysis of Vascular Calcification. Circ Res 120:1240-1242
Kiyohara, M H; Dillard, C; Tsui, J et al. (2017) EMP2 is a novel therapeutic target for endometrial cancer stem cells. Oncogene 36:5793-5807
Dock, Jeffrey; Ramirez, Christina M; Hultin, Lance et al. (2017) Distinct aging profiles of CD8+ T cells in blood versus gastrointestinal mucosal compartments. PLoS One 12:e0182498

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