Department of Radiology Resources
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
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.
Hsiang-Feng (Melody) Carroll, PhD
- Research Interests and Expertise: Survey development, program evaluation, Item Response Theory (IRT), Classical Testing Theory (CTT), Factor Analysis.
- Background: Dr. Carroll is the Psychometrician/ Education Specialist of the Radiology Department at the CU SOM and holds a Ph.D. in Educational Psychology and Research, specializing in Research, Evaluation, Measurement and Statistics (REMS) from the University of Kansas. She collaborates with researchers in the educational and medical domains, providing statistical support in all facets of the research process: this goes from experimental design, power analysis, and selecting statistical methodology through data visualization and manuscript preparation. She is also the co-leader of the Education Research Group in the Radiology Department.
Questions? Contact the Radiology Research Coordinator or the Radiology Research Administrator