? BIOSTATISTICS SHARED RESOURCE The Biostatistics Shared Resource (BSR) provides basic, clinical, translational, and population science researchers at the Duke Cancer Institute (DCI) access to state-of-the-art expertise in biostatistics and quantitative methods for study design, analysis, and reporting. The resource employs a distributed partnership model with embedded biostatistics teams in disease-specific clusters to provide ongoing development of research, grant applications, and clinical protocols. The BSR Director and Managing Director are supported by an expert cadre of 10 faculty and 15 staff who partner with DCI clinical/disease groups and Research Programs. The resource also participates in and co-leads the development and testing of appropriate systems for trial data management and linkages through Medidata Rave, Medidata Balance, RedCap, and other tools. The BSR also provides assistance with clinical trial compliance, reporting, and oversight and provides scientific review of all DCI protocols. The resource also has extended its activities into cancer research areas including health services research, observational studies, population science, epidemiology, basic sciences, and others to meet the needs of DCI members. The BSR works closely with the DCI's Bioinformatics shared resource, the DCI Information Systems shared resource as well as the DCI Chief Data Officer, to establish appropriate breadth and range of expertise to meet DCI data and analytic needs. These partnerships have strengthened grant funding, high impact publications, and created an enhanced research-training environment at DCI. From 2017 and 2018, a total of 832 activities for 139 DCI investigators, including 312 analyses, 123 grant applications, 192 manuscripts, 73 database/study builds, 108 protocols, and 24 Letters of Intent across the disease-sites and CCSG Research Programs. In 2018, the Biostatistics Shared Resource provided services to 139 investigators, 100% of whom were DCI members, accounting for 100% of usage and representing all 8 DCI Research Programs. Use of this shared resource by DCI Members, contributed to 488 publications over the project period, 67 of which were in high impact journals.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA014236-47
Application #
10118123
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
1997-01-01
Project End
2024-12-31
Budget Start
2021-01-01
Budget End
2021-12-31
Support Year
47
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Duke University
Department
Type
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Dai, Ziwei; Mentch, Samantha J; Gao, Xia et al. (2018) Methionine metabolism influences genomic architecture and gene expression through H3K4me3 peak width. Nat Commun 9:1955
Powell Gray, Bethany; Kelly, Linsley; Ahrens, Douglas P et al. (2018) Tunable cytotoxic aptamer-drug conjugates for the treatment of prostate cancer. Proc Natl Acad Sci U S A 115:4761-4766
Abdi, Khadar; Lai, Chun-Hsiang; Paez-Gonzalez, Patricia et al. (2018) Uncovering inherent cellular plasticity of multiciliated ependyma leading to ventricular wall transformation and hydrocephalus. Nat Commun 9:1655
Hudson, Kathryn E; Rizzieri, David; Thomas, Samantha M et al. (2018) Dose-intense chemoimmunotherapy plus radioimmunotherapy in high-risk diffuse large B-cell lymphoma and mantle cell lymphoma: a phase II study. Br J Haematol :
Fayanju, Oluwadamilola M; Park, Ko Un; Lucci, Anthony (2018) Molecular Genomic Testing for Breast Cancer: Utility for Surgeons. Ann Surg Oncol 25:512-519
Porter, Laura S; Fish, Laura; Steinhauser, Karen (2018) Themes Addressed by Couples With Advanced Cancer During a Communication Skills Training Intervention. J Pain Symptom Manage 56:252-258
Káradóttir, Ragnhildur T; Kuo, Chay T (2018) Neuronal Activity-Dependent Control of Postnatal Neurogenesis and Gliogenesis. Annu Rev Neurosci 41:139-161
Han, Peng; Liu, Hongliang; Shi, Qiong et al. (2018) Associations between expression levels of nucleotide excision repair proteins in lymphoblastoid cells and risk of squamous cell carcinoma of the head and neck. Mol Carcinog 57:784-793
Xu, Yinghui; Wang, Yanru; Liu, Hongliang et al. (2018) Genetic variants in the metzincin metallopeptidase family genes predict melanoma survival. Mol Carcinog 57:22-31
Abdi, Khadar; Kuo, Chay T (2018) Laminating the mammalian cortex during development: cell polarity protein function and Hippo signaling. Genes Dev 32:740-741

Showing the most recent 10 out of 513 publications