What We Do

The biostatisticians of the SDBC can work with you throughout the research process. We perform the following roles:

  • Clarification of research hypotheses and study aims
  • Assistance in the selection of the most appropriate study design and outcome measurements
  • Sample size/power calculations to evaluate tradeoffs among sample size, power and the minimum detectable treatment effects
  • Grant application writing
  • Applications for resources from the Utah Center for Clinical and Translational Science (CCTS)
  • Assistance with evaluating existing surveys or developing you own
  • Advice regarding data collection methods
  • Conduct of statistical analysis on existing data sets
  • Guidance to clinical and translational researchers who wish to carry out their own statistical analyses
  • Advise on collection and analysis of qualitative data
  • Interpretation of results of data analyses
  • Collaboration in writing statistical aspects of manuscripts
  • When appropriate, facilitating contacts with other methodologists/researchers in the University community

In all of the activities of the SDBC, we endeavor to impart knowledge of study design and statistical principles to our clinical and translational science collaborators.

Methods Expertise

  • Clinical trial design
  • Observational study design
  • Survey design and questionnaire development
  • Item response theory and computer adaptive testing
  • Focus group design and analysis
  • Statistical genetics and genomics
  • Longitudinal analysis
  • Linear and nonlinear mixed models
  • Analyses of latent variable models
  • Survival analysis
  • Multivariate methods
  • Meta-analysis
  • Bayesian modeling
  • Computational statistics
  • Analysis of cost data
  • Diagnostic testing
  • Analysis of administrative data
  • Comparative effectiveness research methods
  • Modern causal Inference
  • Infectious disease modeling
  • Machine Learning

Financial Support

  • University of Utah CCTS Grant
  • University of Utah VP Research Office
  • Huntsman Cancer Institute
    • Biostatistics resource
    • Survey design resource
  • Department of Internal Medicine
    • Division of Nephrology
    • Division of Epidemiology
    • General Internal Medicine support
  • Department of Pediatrics
    • Division of Pediatric Cardiology
    • Division of Inpatient Care
    • General Pediatrics support
  • Department of OBGYN
  • Department of Orthopedics
  • Department of Ophthalmology
  • Department of Surgery
    • Division of Urology
  • General Surgery support
  • Department of Neurology
  • Department of Dermatology
  • Department of Biomedical Informatics
  • Division of Physical Medicine & Rehabilitation
  • Division of Occupational & Environmental Health
  • Department of Physical Therapy
  • Industry contracts
  • NIH methods research grants
  • Medical education program
  • General chargeback

Prioritization

The SDBC attempts to provide collaborations for clinical and translational research throughout the University of Utah system. However, given personnel and funding constraints, there are times when the demand for collaboration exceeds our capacity. During these periods, priority will be given to grants or departments/divisions/institutes which have arranged ongoing funding with the SDBC.

Additional prioritization is determined by the type of project:

  • New grant application for external funding sources
  • Projects offering opportunities for methodological development by SDBC collaborators
  • Study design in preparation for internal funding application
  • Funded career development award
  • Data analysis in support of manuscript
  • Meeting or conference abstract
  • Other

Contact Us

Williams Building
University of Utah Research Park
Williams Building, 1st floor
295 South Chipeta Way
Salt Lake City, Utah
Map

Parking: south visitor's lot


Contact

Camie Derricott
Phone: 801-587-5212
Fax: 801-581-3623

ACKNOWLEDGING THE SDBC

Please use the following text to acknowledge the CCTS Study Design and Biostatistics Center:

"This investigation was supported by the University of Utah Population Health Research (PHR) Foundation, with funding in part from the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant 5UL1TR001067-05 (formerly 8UL1TR000105 and UL1RR025764)."