Aligned with the Office of Research at the University of Missouri under the direction of the Associate Dean of Population Health and Outcomes Research, the Biostatistics Unit is a core resource providing a broad spectrum of statistical support to MU Health researchers.
Your Partner in Research
Grant applications, manuscripts and presentations that involve quantitative methods are generally more competitive when a statistician is involved.
You will benefit most from the Unit's services when you consider us as your partners in research and get us involved early in your project activities.
The Biostatistics Unit provides statistical support as a partner in your research. Whether it be collaboration on grants, manuscripts, education, or data analysis, our statisticians are prepared to assist you in your research activities. Complete and submit the form to request biostatistics support. If you have any questions about this process, contact the Unit Coordinator, Dawn Moorehead.
Our Dynamic Unit is Hiring!
Come for a career, not just a job.
Our Biostatistics Unit plays a critical role in research capacity building at the School of Medicine as well as other Faculties and Schools at the University of Missouri. This Assistant Professor position offers a competitive salary with start-up funds, ongoing professional development funds and opportunities for promotion as well as relocation support.
How to Apply
Access our career opportunities via our erecruit Careers site.
2. Sign In to access your account or if you are not an existing user select the New User link to create one.
3. Review the job description and select the Apply button to begin your application.
If you are a current employee of our organization, please visit MyHR.
Take advantage of the extensive experience in many statistical areas held by faculty and staff in the Biostatistics Unit. We offer expertise on:
- Grant proposal development
- Experimental design, both randomized trials and observational studies
- Sample size selection
- Data management
- Regression modelings (linear and non-linear)
- Hierarchial modeling and complex analysis of variance
- Path and structural models
- Nonparametric statistics
- Statistical analysis of all types
- Monte Carlo simulations
- Survey sampling
- Longitudinal studies
- Prediction modeling and risk-scoring
- Survival analysis
Experience with Large Data Sets
Our faculty members have extensive experience in working with large data sets, such as those arising from national databases and electronic medical records.
We offer consulting for grant preparation, 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 apply to our collaborations and grant submissions.
- 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 is typically not less than ten (10) percent.
- Biostatisticians reserve the right to decline participation in a grant if they are unable to negotiate a reasonable percentage with you.
- Shared credit cannot be renegotiated after a grant has been awarded.
- Requests for consultations need to be accompanied by the approval of your Department Chair and/or Assistant/Associate Dean(s) of Research.
- Time is the scarcest commodity. To make good use of our consulting services, be prepared to send some information at least a week in advance of any scheduled meeting. Additionally, a specific aims page should accompany the initial request. This not only helps orient us to your project but also serves to direct the project to a statistician with the relevant particular expertise or interest. In addition to the aims page, also provide as much information as possible on your intended data sources and variables reflecting both outcomes and potential confounders.
- The Biostatistics Unit is support by the School of Medicine and thus SOM investigators must be our priority. Ongoing statistical support for other academic units may be available, subject to a mutually acceptable memorandum of understanding.
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.