The Biostatistics Shared Resource (BSR) of the Albert Einstein Cancer Center (AECC) provides statistical expertise and collaboration to cancer center investigators on all phases of basic science, translational, observational and clinical research. This includes guidance on study design, study conduct, data analysis, and the interpretation and publication of results. The process of re-establishment of the BSR had begun at the time of the last Cancer Center Support Grant (CCSG) review in 2000 and the resource has undergone considerable expansion since then to meet the increasing and diverse biostatistical needs of the Cancer Center. The BSR currently includes 6 doctoral level and 2 master's level biostatisticians who have a wide range of methodologic expertise to ensure that appropriate statistical support is available for each project. The specific objectives of the BSR are: ? To assist and collaborate with cancer center investigators on the design, analysis, interpretation and reporting of basic science, translational, clinical, epidemiological and prevention studies ? To collaborate on new research initiatives and the development of applications for peer-reviewed funding ? To provide statistical expertise on the development and scientific review of clinical trial protocols ? To provide statistical support for short-term research projects, including pilot studies ? To develop new statistical methods as needed to meet specific study needs ? To provide guidance on the design and management of study databases ? To educate and train cancer center members in the statistical principles of biomedical research In addressing these objectives, the BSR strives to create a truly collaborative environment that promotes mutually productive interactions between biostatisticians and cancer center investigators, with the ultimate goal of enhancing the quality and increasing the quantity of cancer research conducted at the AECC.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA013330-38
Application #
8113384
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2010-07-01
Budget End
2011-06-30
Support Year
38
Fiscal Year
2010
Total Cost
$387,867
Indirect Cost
Name
Albert Einstein College of Medicine
Department
Type
DUNS #
110521739
City
Bronx
State
NY
Country
United States
Zip Code
10461
Van Arsdale, Anne R; Arend, Rebecca C; Cossio, Maria J et al. (2018) Insulin-like growth factor 2: a poor prognostic biomarker linked to racial disparity in women with uterine carcinosarcoma. Cancer Med 7:616-625
Ruiz, Penelope D; Gamble, Matthew J (2018) MacroH2A1 chromatin specification requires its docking domain and acetylation of H2B lysine 20. Nat Commun 9:5143
Rohan, Thomas; Ye, Kenny; Wang, Yihong et al. (2018) MicroRNA expression in benign breast tissue and risk of subsequent invasive breast cancer. PLoS One 13:e0191814
Walters, Ryan O; Arias, Esperanza; Diaz, Antonio et al. (2018) Sarcosine Is Uniquely Modulated by Aging and Dietary Restriction in Rodents and Humans. Cell Rep 25:663-676.e6
Racine, Jeremy J; Stewart, Isabel; Ratiu, Jeremy et al. (2018) Improved Murine MHC-Deficient HLA Transgenic NOD Mouse Models for Type 1 Diabetes Therapy Development. Diabetes 67:923-935
Frimer, Marina; Miller, Eirwen M; Shankar, Viswanathan et al. (2018) Adjuvant Pelvic Radiation ""Sandwiched"" Between Paclitaxel/Carboplatin Chemotherapy in Women With Completely Resected Uterine Serous Carcinoma: Long-term Follow-up of a Prospective Phase 2 Trial. Int J Gynecol Cancer 28:1781-1788
Kale, Abhijit; Ji, Zhejun; Kiparaki, Marianthi et al. (2018) Ribosomal Protein S12e Has a Distinct Function in Cell Competition. Dev Cell 44:42-55.e4
Lee, Chang-Hyun; Kiparaki, Marianthi; Blanco, Jorge et al. (2018) A Regulatory Response to Ribosomal Protein Mutations Controls Translation, Growth, and Cell Competition. Dev Cell 46:456-469.e4
Mao, Serena P H; Park, Minji; Cabrera, Ramon M et al. (2018) Loss of amphiregulin reduces myoepithelial cell coverage of mammary ducts and alters breast tumor growth. Breast Cancer Res 20:131
Mocholi, Enric; Dowling, Samuel D; Botbol, Yair et al. (2018) Autophagy Is a Tolerance-Avoidance Mechanism that Modulates TCR-Mediated Signaling and Cell Metabolism to Prevent Induction of T Cell Anergy. Cell Rep 24:1136-1150

Showing the most recent 10 out of 1508 publications