? BIOSTATISTICS SHARED RESOURCE Shared Resource Leader: Madhu Mazumdar, PhD The Tisch Cancer Institute (TCI) Biostatistics Shared Resource Facility (BSRF) members participate actively in the design of new studies in basic science, clinical, epidemiological, survey, and cancer prevention. Early involvement of the BSRF members in the research teams enables the optimal design and analysis of pilot studies, adequate assessment of measurement properties of outcomes, assistance with appropriate database development, and meta-analysis of published literature, as needed for effective planning of new research. BSRF also fosters standardized review of protocols and monitoring of safety data. Members of the BSRF engage with faculty and staff in Information Technology to develop databases using Mount Sinai's electronic Research Application Portal (eRAP), perform analysis of small and `big' data (?omics? and high-dimensional data) in their collaboration with TCI investigators, and participate in graduate education programs developed for trainees and junior faculty in cancer research. In addition to providing training on analytic aspects of projects during collaborative consult sessions, BSRF members organize an Open House (for getting to know the biostatisticians in an informal setting), BioStat Clinic (sessions where consults are provided on a walk-in basis and often some training slides are presented on topics advertised a priori) and Journal Club (where methodology used in recent publications are discussed for potential application on local projects). All collaborative, review, and training work are provided free of charge with a strong requirement for biostatisticians to be included for significant FTE on all grants and contracts as a co-investigator. Biostatisticians are also required to be co-authors if ICJME criteria are met.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA196521-02
Application #
9149629
Study Section
Subcommittee I - Transistion to Independence (NCI)
Program Officer
Shafik, Hasnaa
Project Start
Project End
Budget Start
2016-08-01
Budget End
2017-07-31
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Icahn School of Medicine at Mount Sinai
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Tsuchida, Takuma; Lee, Youngmin A; Fujiwara, Naoto et al. (2018) A simple diet- and chemical-induced murine NASH model with rapid progression of steatohepatitis, fibrosis and liver cancer. J Hepatol 69:385-395
Galsky, Matthew D; Wang, Huan; Hahn, Noah M et al. (2018) Phase 2 Trial of Gemcitabine, Cisplatin, plus Ipilimumab in Patients with Metastatic Urothelial Cancer and Impact of DNA Damage Response Gene Mutations on Outcomes. Eur Urol 73:751-759
Wu, Vernon; Moshier, Erin; Leng, Siyang et al. (2018) Risk stratification of smoldering multiple myeloma: predictive value of free light chains and group-based trajectory modeling. Blood Adv 2:1470-1479
Molotkov, Andrei; Soriano, Philippe (2018) Distinct mechanisms for PDGF and FGF signaling in primitive endoderm development. Dev Biol 442:155-161
Zhang, Yan M; Zimmer, Milena A; Guardia, Talia et al. (2018) Distant Insulin Signaling Regulates Vertebrate Pigmentation through the Sheddase Bace2. Dev Cell 45:580-594.e7
Parua, Pabitra K; Booth, Gregory T; Sansó, Miriam et al. (2018) A Cdk9-PP1 switch regulates the elongation-termination transition of RNA polymerase II. Nature 558:460-464
Lee, Youngmin A; Noon, Luke A; Akat, Kemal M et al. (2018) Autophagy is a gatekeeper of hepatic differentiation and carcinogenesis by controlling the degradation of Yap. Nat Commun 9:4962
Schwartz, Rebecca M; Gorbenko, Ksenia; Kerath, Samantha M et al. (2018) Thoracic surgeon and patient focus groups on decision-making in early-stage lung cancer surgery. Future Oncol 14:151-163
Scarborough, Bethann M; Smith, Cardinale B (2018) Optimal pain management for patients with cancer in the modern era. CA Cancer J Clin 68:182-196
Laganà, A; Perumal, D; Melnekoff, D et al. (2018) Integrative network analysis identifies novel drivers of pathogenesis and progression in newly diagnosed multiple myeloma. Leukemia 32:120-130

Showing the most recent 10 out of 143 publications