Abstract

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.

  Funding Agency

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
2019-03-07
Budget End
2020-02-29
Support Year
20
Fiscal Year
2019
Total Cost
Indirect Cost

  Institution

Name
Rbhs -Cancer Institute of New Jersey
Department
Type
DUNS #
078728091
City
New Brunswick
State
NJ
Country
United States
Zip Code
08901

  Publications

Rabadan, Raul; Bhanot, Gyan; Marsilio, Sonia et al. (2018) On statistical modeling of sequencing noise in high depth data to assess tumor evolution. J Stat Phys 172:143-155
Gupta, Apar; Ohri, Nisha; Haffty, Bruce G (2018) Hypofractionated whole breast irradiation is cost-effective-but is that enough to change practice? Transl Cancer Res 7:S469-S472
Ding, Qiang; Nimgaonkar, Ila; Archer, Nicholas F et al. (2018) Identification of the Intragenomic Promoter Controlling Hepatitis E Virus Subgenomic RNA Transcription. MBio 9:
Liu, Ling; Su, Xiaoyang; Quinn 3rd, William J et al. (2018) Quantitative Analysis of NAD Synthesis-Breakdown Fluxes. Cell Metab 27:1067-1080.e5
Liu, Anna B; Tao, Siyao; Lee, Mao-Jung et al. (2018) Effects of gut microbiota and time of treatment on tissue levels of green tea polyphenols in mice. Biofactors :
Liu, Gang; Mukherjee, Bhramar; Lee, Seunggeun et al. (2018) Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. Am J Epidemiol 187:366-377
Shivappa, Nitin; Hébert, James R; Paddock, Lisa E et al. (2018) Dietary inflammatory index and ovarian cancer risk in a New Jersey case-control study. Nutrition 46:78-82
Kim, Dae Keun; Parihar, Jaspreet Singh; Kwon, Young Suk et al. (2018) Risk of complications and urinary incontinence following cytoreductive prostatectomy: a multi-institutional study. Asian J Androl 20:9-14
Harris, Holly R; Babic, Ana; Webb, Penelope M et al. (2018) Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev 27:174-182
Ong, Jue-Sheng; Hwang, Liang-Dar; Cuellar-Partida, Gabriel et al. (2018) Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study. Int J Epidemiol 47:450-459

Showing the most recent 10 out of 775 publications