Statistics

Department of Radiology Resources

 

Campus.DC_3502_0610-_Welcome3

The Department of Radiology has provides intra-departmental biostatistical support for Faculty, Fellows, and Residents.  Our statistical resource team assists researchers with study design, statistical analysis, and interpretation/communication of research findings.  Support extends to collaborative authoring grants, IRB applications, conference abstracts/posters/papers, and manuscripts for peer reviewed journals.

Jack Pattee, PhD

  • Expertise: machine learning, high dimensional data, study design, observational data, statistical genetics and genomics. 

  • Background: Dr. Pattee is a Research Associate in the Center for Innovative Design and Analysis. He holds a PhD in Biostatistics from the University of Minnesota and a BA in Mathematics from Carleton College. Dr. Pattee has an established publication record in methods development, open-source software, and collaborative biomedical research. His other on-campus collaborations include the Department of Anesthesiology and the Skaggs School of Pharmacy and Pharmaceutical Sciences.

Luke Patten, MS

  •  Expertise: generalized linear regression modeling, statistical programming, data reporting, data visualization, propensity scores, REDCap

  •  Background: Mr. Patten is a research instructor the Center of Innovative Design and Analysis (CIDA). He holds a MS degree in Biostatistics from the Colorado School of Public Health (2019) along with a BS degree in Biology from Penn State University (2017). Luke has also worked other groups on the Anschutz campus including the Navigation Lab (NavLab), Research Outcomes in Children's Surgery (ROCS), and the Department of Otolaryngology.

Questions? Contact the Radiology Research Coordinator​​ or the Radiology Research Administrator