Bedrick brings expertise, leadership to Cancer Center
Before joining the CU Cancer Center, Bedrick served as professor of biostatistics and the director of the Biostatistics and Bioinformatics Shared Resource at the University of New Mexico Cancer Center. His research interests include biostatistics, Bayesian methodology, categorical data analysis, computation statistics, meta-analysis and test of equivalence with survival data.
“We are very pleased to welcome Dr. Bedrick to the University of Colorado Cancer Center,” said Dan Theodorescu, director of the CU Cancer Center. “He brings substantial expertise and experience to a leadership position critical to our Cancer Center. I am excited to see Dr. Bedrick take our Biostatistics and Bioinformatics Shared Resource to the next level.”
The Biostatistics and Bioinformatics Shared Resource provides quantitative and information science support for the planning, design, analysis and presentation of basic science, clinical and epidemiological investigations. Bedrick will be responsible for redeveloping the resource, creating a broader clinical trials portal, recruiting biostatistics faculty and increasing service utilization among Cancer Center researchers.
“The shared resource needs to be better integrated into the research and clinical programs of the Cancer Center,” Bedrick said. “I’m hoping to start my time by meeting with key leadership to try to get a view of their needs and then use that information to figure out what our shared resource can to do to meet them.”
Besides teaching at the Colorado School of Public Health, Bedrick will be focused on getting more biostatistics faculty and students involved in the work of the Cancer Center.
In 1984, Bedrick earned his Ph.D. in statistics from the University of Minnesota and was hired as an assistant professor in the Department of Mathematics and Statistics at the University of New Mexico, where he has spent the past 30 years.
Bedrick’s current research projects are looking at novel methods for meta-analysis and tests of equivalence with time-to-event data, the development of novel statistical methods for inferring animal diet from stable isotope data, and the impact of summarizing data prior to performing statistical inference.
“I’m very excited about coming to Colorado,” Bedrick said. “I particularly like the Southwest portion of the U.S., and clearly the University of Colorado has a lot to offer me — strong research, clinical and academic programs, and people who have really made me feel welcome. This will be a great opportunity for me and my family.”