The Biostatistics Core Facility provides long-term collaborative support to established programs of research at the Center, and short-term consulting services. The work of the Facility enhances the scientific objectives of the Center's research programs by providing expertise on study design and statistical analysis. The field of biostatistics is devoted to developing an understanding of the appropriate ways to derive scientific inferences from quantitative data, and to developing methods for achieving this aim. The staff is highly trained in this field and were all recruited after extensive national searches. The Facility consists of 19 doctoral-level faculty biostatisticians, assisted by 14 masters-level biostatisticians, and a team of programming staff and administrative staff. The doctoral-level biostatisticians in the Facility have broad, collective experience in all of the specialized areas of statistical techniques that are pertinent to contemporary cancer research, including clinical trials methodology, actuarial techniques, epidemiologic methods, analysis of genomics data, statistical genetics, methods for diagnostic medicine, evidence-based medicine and psychometric methods. Cost recovery is achieved primarily through involvement of the Facility members and staff as funded co-investigators on NIH grants. By providing a valid framework for the design, conduct and analysis of scientific studies, the Core contributes to scientific quality and promotes interdisciplinary research. The broad range of services and collaborative work provided by the Biostatistics Core has supported the research of 340 investigators in the past year. During the past grant period the work of the Core has contributed to 1,932 publications of researchers from 9 research programs. For example, the Biostatistics Core Facility played a key role in the recently-published TCGA lung squamous cell carcinoma study that comprehensively characterized the genomic, epigenomic, and transcriptomic landscape of 178 lung SCC samples. This study used an integrative clustering method developed by the facility (iCluster+) to identify sub-types of lung cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA008748-48
Application #
8933554
Study Section
Subcommittee G - Education (NCI)
Program Officer
Shafik, Hasnaa
Project Start
2014-01-01
Project End
2018-12-31
Budget Start
2014-01-01
Budget End
2014-12-31
Support Year
48
Fiscal Year
2014
Total Cost
$944,198
Indirect Cost
$412,854
Name
Sloan-Kettering Institute for Cancer Research
Department
Type
DUNS #
064931884
City
New York
State
NY
Country
United States
Zip Code
10065
Pak, Linda M; Gonen, Mithat; Seier, Kenneth et al. (2018) Can physician gestalt predict survival in patients with resectable pancreatic adenocarcinoma? Abdom Radiol (NY) 43:2113-2118
Thomas, Rozario; Marks, Daniel Henry; Chin, Yvette et al. (2018) Whole chromosome loss and associated breakage-fusion-bridge cycles transform mouse tetraploid cells. EMBO J 37:201-218
Shoag, Jonathan; Liu, Deli; Blattner, Mirjam et al. (2018) SPOP mutation drives prostate neoplasia without stabilizing oncogenic transcription factor ERG. J Clin Invest 128:381-386
Abreu, Carla M; Prakash, Rohit; Romanienko, Peter J et al. (2018) Shu complex SWS1-SWSAP1 promotes early steps in mouse meiotic recombination. Nat Commun 9:3961
Katsoulakis, Evangelia; Leeman, Jonathan E; Lok, Benjamin H et al. (2018) Long-term outcomes in oral cavity squamous cell carcinoma with adjuvant and salvage radiotherapy after surgery. Laryngoscope 128:2539-2545
Huicochea Castellanos, Sandra; Corrias, Giuseppe; Ulaner, Gary A et al. (2018) Detection of recurrent pancreatic cancer: value of second-opinion interpretations of cross-sectional images by subspecialized radiologists. Abdom Radiol (NY) :
Hoseini, Sayed Shahabuddin; Guo, Hongfen; Wu, Zhihao et al. (2018) A potent tetravalent T-cell-engaging bispecific antibody against CD33 in acute myeloid leukemia. Blood Adv 2:1250-1258
Attiyeh, Marc A; Fernández-Del Castillo, Carlos; Al Efishat, Mohammad et al. (2018) Development and Validation of a Multi-institutional Preoperative Nomogram for Predicting Grade of Dysplasia in Intraductal Papillary Mucinous Neoplasms (IPMNs) of the Pancreas: A Report from The Pancreatic Surgery Consortium. Ann Surg 267:157-163
Tollinche, Luis; Tan, KaySee; Han, Austin et al. (2018) Analyzing Volatile Anesthetic Consumption by Auditing Fresh Gas Flow: An Observational Study at an Academic Hospital. Int J Anesth Anesth 5:
Tadros, Audree B; Wen, Hannah Y; Morrow, Monica (2018) Breast Cancers of Special Histologic Subtypes Are Biologically Diverse. Ann Surg Oncol 25:3158-3164

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