University of Wisconsin
School of Medicine and Public Health

Biostatistical Consulting (Two Methods)

The mission of the Biostatistics Consulting Service is to promote excellence in medical research in the UW Department of Medicine by providing statistical support and collaboration. The Biostatistics Consulting Service offers Department of Medicine (DOM) members statistical support in the design, conduct and analysis of basic, clinical and population-based research studies. Statistical consultation is especially valuable during the planning stage of a research study or a proposal for extramural funding. The involvement of biostatisticians in data analyses strengthens the credibility of the study findings in the medical research community. The DOM offers the following two methods of biostatistical consulting;

Method One: Central Biostatistician (Service for Junior Faculty, Fellows and Trainees)

Please click on the link below to get started.

Department of Medicine Biostatistics Consultation Form
Contact Information: Please email if you encounter problems or have trouble accessing the form

Currently, the Department of Medicine Biostatistician assists the statistical work of junior faculty, fellows and trainees. These individuals should contact the biostatistician earlier on in the process of developing an idea or project design.


  • Study Design (Experimental/Observational)
  • Data collection/Data Monitoring
  • Problem Definition
  • Analysis of a complete study
  • Description of statistical methods
  • Preliminary analysis for a proposal or grant
  • General review of complete methodology
  • Graphics for presentation/publication
  • Instructional assistance to learn a statistical software (SAS, SPSS, STATA, others upon request)
  • Poster design (Layout, re-sizing and quality)
  • Public health/Epidemiology Concepts

Method Two: Institute for Clinical and Translational Research or Cancer Center

Please go to ICTR website to sign up for assistance (Senior Faculty):

Consulting on the planning and experimental design of studies:

  • Problem definition
  • Experimental design
  • Randomization and stratification
  • Sample size requirements
  • Determination of appropriate statistical methodology

Assisting in the conduct of clinical studies:

  • Data monitoring
  • Interim analyses

Analyzing completed experiments and studies:

  • Statistical data analysis
  • Interpretation of statistical results

Preparation of presentations and publications

  • Description of statistical methods
  • Appropriate citations to the statistical literature
  • Review of results and conclusions