Biostatistics Shared Resource (BSR) This shared resource provides all Norris Cotton Cancer Center (NCCC) programs with access to statistical expertise. The Biostatistics Shared Resource (BSR) has been a cancer center resource for more than thirty years. Advances in biotechnologies and computing hardware/software have increased greatly the need for the sophisticated statistical methodologies provided by the BSR. Biostatistics is an essential scientific component of high quality cancer research, particularly in the conduct of clinical research. The BSR is staffed by 11 faculty statisticians/methodologists and seven statistical/data management/programmer analysts. Tor Tosteson, Sc.D., serves as the faculty director, a role he has played for 15 years. 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, geospatial analysis, clinical decision modeling, cost- effectiveness analysis, and diagnostic test assessment. The BSR plays a major role in NCCC's scientific (Clinical Cancer Research, CCRC) and data safety (Safety and Data Monitoring, SDMC) committees for approving and monitoring clinical protocols. The Director of the BSR serves as a member of NCCC's Cancer Research Committee (CRC) and meets weekly with the other NCCC leaders. The BSR faculty members are active collaborators on numerous NCI-funded projects throughout NCCC and participate in regularly scheduled Program meetings. The core contributed to a total of 104 separate projects from 65 NCCC members, distributed across all NCCC programs, during 2012-2013. Research data management activities at NCCC are managed in coordination with the BSR, NCCC Administration, the NCCC Office of Clinical Research (OCR), and the Bioinformatics Shared Resource (BISR). BSR capabilities have grown significantly, with future plans to include a new Division of Biostatistics, in a Department of Data Science, and additional resources made available for research through the Dartmouth Clinical and Translational Science Award

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Subcommittee I - Career Development (NCI)
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Dartmouth College
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Emond, Jennifer A; Tovar, Alison; Li, Zhigang et al. (2017) FTO genotype and weight status among preadolescents: Assessing the mediating effects of obesogenic appetitive traits. Appetite 117:321-329
Rapuano, Kristina M; Zieselman, Amanda L; Kelley, William M et al. (2017) Genetic risk for obesity predicts nucleus accumbens size and responsivity to real-world food cues. Proc Natl Acad Sci U S A 114:160-165
Carroll, A M; Cheng, R; Collie-Duguid, E S R et al. (2017) Fine-mapping of genes determining extrafusal fiber properties in murine soleus muscle. Physiol Genomics 49:141-150
Fang, Jun; Jia, Jinping; Makowski, Matthew et al. (2017) Functional characterization of a multi-cancer risk locus on chr5p15.33 reveals regulation of TERT by ZNF148. Nat Commun 8:15034
Pan, Yongchu; Liu, Hongliang; Wang, Yanru et al. (2017) Associations between genetic variants in mRNA splicing-related genes and risk of lung cancer: a pathway-based analysis from published GWASs. Sci Rep 7:44634
Rothwell, Simon; Cooper, Robert G; Lundberg, Ingrid E et al. (2017) Immune-Array Analysis in Sporadic Inclusion Body Myositis Reveals HLA-DRB1 Amino Acid Heterogeneity Across the Myositis Spectrum. Arthritis Rheumatol 69:1090-1099
Hampsch, Riley A; Shee, Kevin; Bates, Darcy et al. (2017) Therapeutic sensitivity to Rac GTPase inhibition requires consequential suppression of mTORC1, AKT, and MEK signaling in breast cancer. Oncotarget 8:21806-21817
Barr, Paul J; Forcino, Rachel C; Thompson, Rachel et al. (2017) Evaluating CollaboRATE in a clinical setting: analysis of mode effects on scores, response rates and costs of data collection. BMJ Open 7:e014681
Melin, Beatrice S; Barnholtz-Sloan, Jill S; Wrensch, Margaret R et al. (2017) Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors. Nat Genet 49:789-794
Adachi-Mejia, Anna M; Lee, Chanam; Lee, Chunkuen et al. (2017) Geographic variation in the relationship between body mass index and the built environment. Prev Med 100:33-40

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