The Biometrics shared resource of the Rutgers Cancer Institute of New Jersey (CINJ) is a Cancer Center managed shared resource whose purpose is to provide statistical support for CINJ members in the areas of basic, clinical, and population research. Most CINJ members in the basic, clinical and population sciences require biostatistical expertise beyond that acquired within their field of scientific training. The Biometrics shared resource (Biometrics) ensures that the scientific rigor of CINJ studies is supported by outstanding, centralized and cost-effective biostatistical support. Under the leadership of Dr. Weichung (Joe) Shih, Biometrics supports the design, conduct, analysis, and reporting of laboratory, clinical and population research. Biometrics is committed to improving the efficiency and effectiveness of research that answers experimental and observational questions in as short a time as possible with the least number of subjects or samples to improve scientific efficiency, while preserving an appropriate error rate and power.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA072720-20
Application #
9632896
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2019-03-01
Budget End
2020-02-29
Support Year
20
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Rbhs -Cancer Institute of New Jersey
Department
Type
DUNS #
078728091
City
New Brunswick
State
NJ
Country
United States
Zip Code
08901
Zhu, Sining; Jin, Juan; Gokhale, Samantha et al. (2018) Genetic Alterations of TRAF Proteins in Human Cancers. Front Immunol 9:2111
Perekatt, Ansu O; Shah, Pooja P; Cheung, Shannon et al. (2018) SMAD4 Suppresses WNT-Driven Dedifferentiation and Oncogenesis in the Differentiated Gut Epithelium. Cancer Res 78:4878-4890
Llanos, Adana A M; Tsui, Jennifer; Rotter, David et al. (2018) Factors associated with high-risk human papillomavirus test utilization and infection: a population-based study of uninsured and underinsured women. BMC Womens Health 18:162
Hadigol, Mohammad; Khiabanian, Hossein (2018) MERIT reveals the impact of genomic context on sequencing error rate in ultra-deep applications. BMC Bioinformatics 19:219
Severson, Eric A; Riedlinger, Gregory M; Connelly, Caitlin F et al. (2018) Detection of clonal hematopoiesis of indeterminate potential in clinical sequencing of solid tumor specimens. Blood 131:2501-2505
Shih, Weichung Joe; Lin, Yong (2018) Relative efficiency of precision medicine designs for clinical trials with predictive biomarkers. Stat Med 37:687-709
Ding, Qiang; Gaska, Jenna M; Douam, Florian et al. (2018) Species-specific disruption of STING-dependent antiviral cellular defenses by the Zika virus NS2B3 protease. Proc Natl Acad Sci U S A 115:E6310-E6318
Winer, Benjamin Y; Shirvani-Dastgerdi, Elham; Bram, Yaron et al. (2018) Preclinical assessment of antiviral combination therapy in a genetically humanized mouse model for hepatitis delta virus infection. Sci Transl Med 10:
Modi, Parth K; Wang, Ye; Kirk, Peter S et al. (2018) The Receipt of Industry Payments is Associated With Prescribing Promoted Alpha-blockers and Overactive Bladder Medications. Urology 117:50-56
Dai, Zhuqing; Feng, Simin; Liu, Anna et al. (2018) Anti-inflammatory effects of newly synthesized ?-galacto-oligosaccharides on dextran sulfate sodium-induced colitis in C57BL/6J mice. Food Res Int 109:350-357

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