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BIOSTATISTICS CORE FACILITY

$299,127P30FY2015CANIH

Northwestern University At Chicago, Evanston IL

Investigators

Linked publications, trials & patents

Trial NCT07639528Trial NCT07594626Trial NCT07594548Trial NCT07290543Trial NCT07261657Trial NCT07178301Trial NCT07169617Trial NCT07050186Trial NCT07042919Trial NCT06959641Trial NCT06813898Trial NCT06723457Trial NCT06630416Trial NCT06571734Trial NCT06499870Trial NCT06410248Trial NCT06327477Trial NCT06247540Trial NCT06244004Trial NCT06242834Trial NCT06184750Trial NCT06164275Trial NCT06137651Trial NCT06062498Trial NCT06060587Trial NCT06022822Trial NCT05879250Trial NCT05852041Trial NCT05802186Trial NCT05744739Trial NCT05733000Trial NCT05620771Trial NCT05576896Trial NCT05545150Trial NCT05453799Trial NCT05419011Trial NCT05411107Trial NCT05236036Trial NCT05202782Trial NCT05093387Trial NCT04931017Trial NCT04910425Trial NCT04795869Trial NCT04767984Trial NCT04753216Trial NCT04576104Trial NCT04550481Trial NCT04250051Trial NCT04227028Trial NCT04200443Trial NCT04049227Trial NCT04047706Trial NCT04033432Trial NCT04009044Trial NCT03854474Trial NCT03812562Trial NCT03742258Trial NCT03723915Trial NCT03704714Trial NCT03513484Trial NCT03317405Trial NCT03278925Trial NCT03226249Trial NCT03213041Trial NCT03146650Trial NCT03077828Trial NCT03070002Trial NCT03061188Trial NCT03048500Trial NCT03044730Trial NCT03036930Trial NCT03020017Trial NCT02993159Trial NCT02968810Trial NCT02965703Trial NCT02901899Trial NCT02892734Trial NCT02871323Trial NCT02861040Trial NCT02847559Trial NCT02837029Trial NCT02819804Trial NCT02808143Trial NCT02805868Trial NCT02794883Trial NCT02774681Trial NCT02743364Trial NCT02720484Trial NCT02694809Trial NCT02536794Trial NCT02530619Trial NCT02530502Trial NCT02530125Trial NCT02481310Trial NCT02365480Trial NCT02357810Trial NCT02314156Trial NCT02242097Trial NCT02237183Trial NCT02232516

Abstract

PROJECT SUMMARY (See instructions): The Biostatistics Core Facility is a defined group of faculty biostatisticians, staff statistical analysts and computer/administrative personnel whose mission is to provide state of the art biostatistical collaboration and support to Cancer Center members. The specific aims of the Core are to provide expertise in study design, data analysis and database management, interact with relevant Cancer Center shared resources, provide statistical input to investigator initiated protocols and statistical review of all new Cancer Center studies through the Protocol Review and Monitoring System, perform research in statistical methodology and implement innovative statistical techniques as they apply to Cancer Center members' projects, provide education in biostatistical methods to Cancer Center members and other persons performing cancer related research, and disseminate the teaching process to national and international entities beyond the Cancer Center. Over the past five years, the Core has achieved its primary goals by providing statistical collaboration and consultation to members of all Programs in the Cancer Center, with collaboration from other Cores. Two Core biostatisticians (one as co-chair) attend each of the bi-weekly Scientific Review Committee meetings. All protocols, chart reviews, letters of intent and amendments are reviewed by a biostatistician. The Core has been instrumental in recruiting two junior faculty statisticians with strength in statistical methodology development and application. The Core collaborated on the currently NCI funded Prostate SPORE, the Phase I and 11 Chemoprevention NCI Contract, the Physical Sciences Oncology Center and the Center of Cancer Nanotechnology Excellence. The Core participated in various Cancer Center education endeavors and has national and international presence in bioinformatics and clinical trials training. Core members co-authored 135 peer-reviewed publications over 5 years, worked on 182 projects for 106 unique users over the past year and co-directed (with other Center Cores) a seminar program of 49 seminars over 5 years. Key scientific contributions include: identification of two new physical protein interaction mechanisms in glioblastomas using network data analysis techniques, investigation of aberrant signaling in receptor tyrosine kinase (RTK) pathways by identifying genes with differential transcription dynamics in time course data using the Partition Decoupling Method, and use of concordance statistics to determine that MRI with enhanced reconstruction is superior to standard MRl as a measure of tumor necrotic fraction and viable tumor volume in animal studies of hepatocellular carcinoma. The Core aims to continue its collaboration with all Center programs and relevant shared resources, and broaden its development of statistical expertise through further education and recruitment.

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