Vanderbilt Biostatistics Shared Resource

About Biostatistics Shared Resource

Services

The Biostatistics Shared Resource team work with Cancer Center investigators to:

  • Define objectives and endpoints
  • Analyze pilot data
  • Select an appropriate design
  • Devise a blinding and randomization scheme
  • Plan interim analyses
  • Determine the early stopping rules
  • Compute an adequate sample size with concern for the clinical as well as statistical significance
  • Estimate the time required to accrue the total patient population
  • Specify the statistical methods
  • Prepare statistical sections of the grant and protocol applications
  • Design relational database

Objectives

The members of the Biostatistics Shared Resource endeavor to:

  • Provide consultative services for Cancer Center investigators in the statistical design, conduct, and analysis of studies
  • Collaborate in funded research efforts initiated by Cancer Center laboratory and clinical investigators, by providing statistical expertise in study design, power and sample size analysis; data analysis; interpretation of results; and writing of manuscripts
  • Provide relational database design, data tracking, forms, queries, and reports for investigator-initiated clinical trial databases or laboratory study databases
  • Develop and evaluate statistical methods for experimental design and data analysis
  • Work with the Cancer Center Clinical Trials Shared Resource in the development of a new research project database to maintain data quality control and ensure timely data capture
  • Train VICC members in research design and data analysis through seminars, short statistical workshops, and individual sessions on statistical methods

Charges

There is no charge-back for using the Biostatistics Shared Resource since biostatistical input is crucial to most clinical and laboratory studies; however, the Cancer Center requires that at least one of the resource staff be listed as co-investigator on related research grant applications.

Equipment and Tools

Thirty Intel Processor Workstations

  • Ranging from quad core to single core Xeon to PIII Processors
  • 2 to 24 gigabyte of RAM per workstation Windows 2000, XP, Mac and Linux OS over 18 terabytes of file space
  • Complete backup of critical data performed nightly

Windows 2003 & 2008 Servers

  • Two dedicated servers
  • 2 terabytes of storage space dedicated directly for research
  • Research backed up and verified daily

Software Tools

  • R, MATLAB, S-PLUS, SAS, SPSS, STATA, Resampling Stats, EGRET, EPICURE, CART, MARS, TREE-NET, nQuery, EaSt, PASS and other statistical applications
  • MS Visual Studio .Net, Digital Fortran, Visual Basic
  • MS Access 2007 and MySQL for Relational Database Projects

Input / Output Devices

  • Hewlett Packard Color Laser Printer for high-quality color output
  • Konica Minolta C320 & HP Network Laser Printer for high output print jobs
  • 3 HP Laser Printers
  • Konica Minolta C320 & HP Scanjet for photograph high-resolution scans with automatic document feeder and OCR capabilities
  • Brother MFC document scanner/ fax/ laser copy

Media and Connectivity

  • Zip (100/250MB) formats
  • CD, CD-R, CD-RW (read and write)
  • DVD, DVD-R (read only)
  • Compact Flash Memory
  • DLT 20/40 Tapes
  • USB, SCSI, Firewire
  • Member of Vanderbilt Network: Accessible to all Resources

 

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