The overarching goal of the Biostatistics Shared Resource is to establish and maintain the highest possible standards of statistical and scientific quality in the cancer research conducted by the NCCC Programs. The resource provides expert statistical consultation and analysis for all NCCC members;study design, statistical review and interim monitoring for clinical trial protocols;statistical design and expert collaboration for large scale cancer control and epidemiology studies;experimental design and specialized statistical methods for integrative biology and laboratory-based research;statistical data management expertise;and specialized statistical software support and hardware access. The resource is staffed by seven faculty statisticians and three statistical/data management/programmer analysts. Areas of faculty statistical expertise and research include longitudinal data analysis and study design, measurement error methods in clinical research and epidemiology, statistical methods for clinical trials and epidemiology studies, statistical methods for high dimensional genomic and imaging data, clinical decision modeling, cost-effectiveness analysis, and diagnostic test assessment. The BSR faculty provides statistical expertise to the NCCC Clinical Cancer Research and Safety and Data Monitoring Committees for approving and monitoring clinical protocols. The Director of the BSR serves as a member of the Cancer Research Committee and meets weekly with the other NCCC core leaders. The BSR faculty members are active collaborators on numerous NCI-funded projects throughout NCCC and participate in all regularly scheduled Program meetings. Information technology and data management activities at NCCC are managed in coordination with the BSR, NCCC Administration, the Office of Clinical Research, and the Bioinformatics Shared Resource. The BSR data management specialist serves as the NCCC Director of Clinical Information Systems, and provides technical leadership for the ongoing development of clinical research data systems. New initiatives planned for this grant period include the further development of statistical educational seminars and workshops, for researchers at all levels within NCCC, and development of interactive statistical reporting based on the new clinical information system to provide real-time clinical trial safety and data monitoring and access to research data.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA023108-35
Application #
8463398
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
2014-11-30
Budget Start
2012-12-01
Budget End
2013-11-30
Support Year
35
Fiscal Year
2013
Total Cost
$171,713
Indirect Cost
$63,033
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Shee, Kevin; Jiang, Amanda; Varn, Frederick S et al. (2018) Cytokine sensitivity screening highlights BMP4 pathway signaling as a therapeutic opportunity in ER+ breast cancer. FASEB J :fj201801241R
Rodriguez-Garcia, Marta; Fortier, Jared M; Barr, Fiona D et al. (2018) Aging impacts CD103+ CD8+ T cell presence and induction by dendritic cells in the genital tract. Aging Cell 17:e12733
Shajani-Yi, Zahra; de Abreu, Francine B; Peterson, Jason D et al. (2018) Frequency of Somatic TP53 Mutations in Combination with Known Pathogenic Mutations in Colon Adenocarcinoma, Non-Small Cell Lung Carcinoma, and Gliomas as Identified by Next-Generation Sequencing. Neoplasia 20:256-262
Szczepiorkowski, Zbigniew M; Burnett, Christine A; Dumont, Larry J et al. (2018) Apheresis buffy coat collection without photoactivation has no effect on apoptosis, cell proliferation, and total viability of mononuclear cells collected using photopheresis systems. Transfusion 58:943-950
Bossé, Yohan; Amos, Christopher I (2018) A Decade of GWAS Results in Lung Cancer. Cancer Epidemiol Biomarkers Prev 27:363-379
Pande, Mala; Joon, Aron; Brewster, Abenaa M et al. (2018) Genetic susceptibility markers for a breast-colorectal cancer phenotype: Exploratory results from genome-wide association studies. PLoS One 13:e0196245
Smith, T Jarrod; Sondermann, Holger; O'Toole, George A (2018) Co-opting the Lap System of Pseudomonas fluorescens To Reversibly Customize Bacterial Cell Surfaces. ACS Synth Biol 7:2612-2617
Gorlova, Olga Y; Li, Yafang; Gorlov, Ivan et al. (2018) Gene-level association analysis of systemic sclerosis: A comparison of African-Americans and White populations. PLoS One 13:e0189498
Schmit, Stephanie L; Edlund, Christopher K; Schumacher, Fredrick R et al. (2018) Novel Common Genetic Susceptibility Loci for Colorectal Cancer. J Natl Cancer Inst :
Cai, Yunliang; Wu, Shaoju; Zhao, Wei et al. (2018) Concussion classification via deep learning using whole-brain white matter fiber strains. PLoS One 13:e0197992

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