Aligned with the Office of Research at the University of Missouri, experts in biostatistics and research design provide a broad spectrum of statistical support to MU Health researchers.

Your Partner in Research

You’ll benefit most from services provided by our three doctoral-level statisticians currently on staff when you consider us as your partners in research and get us involved early in your project activities.

Biostatistics and Research Design Request

The Biostatistics and Research Design Unit provides statistical support as a partner in your research. Whether it be collaboration on grants, manuscripts, education, or data analysis, our five doctoral-level statisticians are prepared to assist you in your research activities. Researchers may request services from the Biostatistics group using the request form. Once submitted, your request will be reviewed, and a member of the Biostatistics group will contact you to begin collaboration. Visit ShowMe Portal for more information.

Collaborative Services

Take advantage of the extensive experience in many statistical areas held by faculty and staff in the Biostatistics & Research Design Unit. We’ll collaborate with you on:

  • Grant proposal development
  • Experimental design
  • Sample size selection
  • Data management
  • Linear models (regression; analysis of variance)
  • Nonparametric statistics
  • Statistical analysis of all types
  • Monte Carlo simulations
  • Randomized clinical trials
  • Logistic regression
  • Survey sampling
  • Longitudinal studies
  • Multivariate analysis
  • Survival analysis
  • Analysis of microarray data
  • Development and application of new statistical methodologies and more

Experience with Large Data Sets

Our faculty members also hold experience in working with large data sets, such as those arising from national databases and complex genomic experiments.

Customized Education Programs

In addition, we’ll work with you to provide customized education in experimental design and statistics on topics of your choice in a variety of formats, including:

  • Single-instance seminars
  • Seminar series
  • Mini courses
  • Full courses

Payment options and methods for these services vary by scope of problem and services required.

Grant Collaboration Policies

We offer consulting for grant preparation without cost, with the understanding that the statistician will be supported by the grant, should it be funded. Typical grant support is calculated as a percentage of full-time employment (%FTE). The following policies also apply to our collaboration.

  • For statisticians funded on a grant via %FTE, shared credit of indirect costs should be no less than five (5) percent.
  • The degree of support is determined individually for each proposal and reflects the statistician’s duties and degree of involvement with the study. For named statisticians, the %FTE should be no less than five (5) percent.
  • Biostatisticians reserve the right to decline participation in a grant if they are unable to negotiate a reasonable percentage with the investigator.
  • Data analysis conducted for grant preparation is billable work calculated at the hourly rates shown below.
  • After a grant has been awarded, shared credit should not be reduced.
  • After a grant has been awarded, biostatisticians should not be converted from %FTE to hourly consultants.
  • Reduction in %FTE on a funded grant must be commensurate with a reduction in the statistician’s duties.

Hourly Consulting Policies

Your initial meeting to discuss a project as a new client is free of charge. Hourly rates apply to fee-for-service work as follows:

  • $100 for internal projects
  • $150 for external projects—one where the principal investigator is not a University of Missouri or University Hospital employee; involvement in external projects is at the sole discretion of the individual statistician
  • Expedited projects—those with a turnaround of 48 hours or less—will be billed at the external client rate


The authorship list on a scientific publication identifies those responsible for the integrity of results and those to credit for the findings. Co-authorship is appropriate when the statistician makes a substantial contribution to the design, analysis or interpretation of results.

Assignment of authorship is a matter of scientific integrity and is independent of funding. While the Biostatistics Group cannot exchange authorship in lieu of payment for services, payment for services does not preclude authorship credit.


Gregory Petroski, PhD, Interim Director

Gregory Petroski, PhD

Interim Director

182 C Galena Hall
Phone: 573-882-3373

Photo of Bin Ge, MD, MA

Bin Ge, MD, MA

185 Galena Hall
Phone: 573-882-0998

Mojgan Golzy, PhD

Mojgan Golzy, PhD

183 Galena Hall
Phone: 573-884-9813