CMSP offers primary statistical services for select cross sectional studies. We utilize classical hypothesis testing approaches to compare population characteristics and provide various summary statistical measures, including: fold changes, relative standard deviations, and multiple testing corrected p-values. Some of our software provide multivariate statistical techniques, such as principal component analysis (PCA) and hierarchical clustering. Please contact us to evaluate the availability of a tool or statistical technique. 

Additionally, CMSP can offer pilot studies for power analysis of larger studies. Based on experimental design and available instrumentation, we help guide users in choosing the appropriate number of samples to achieve statistical power in a full study. Contact CMSP about planning your pilot study.

The University of Minnesota also offers statistical consulting and analysis services for research studies through several departments, including:

Statistical Consulting Center

Biostatistical Design and Analysis Center (BDAC)

Institute for Research in Statistics and its Applications