GIM Methods Core
The GIM Methods Core was established in July 2008 to provide integrated research services to the Division faculty and fellows and to Osler Housestaff. The Methods Core is staffed by methodologically oriented PhD faculty in the GIM Division plus doctoral students from the Departments of Epidemiology and Biostatistics.
Key functions of the Methods Core include:
Consultation and Mentorship on Research Methods
Methods Core faculty are available to consult or co-mentor clinically-oriented faculty, GIM Fellows, and medical residents on study design, biostatistics, epidemiology, behavioral medicine, health outcomes and services research, and medical informatics.
Data Management and Statistical Analysis
The Core oversees a team of graduate research assistants to perform basic and complex statistical analysis for research projects conducted by GIM faculty and Osler residents.
Guidance on Use of Secondary Database Resources
A Resource Guide for secondary data analysis is maintained by the Methods Core to provide information on public-use datasets and studies lead by GIM faculty. Core faculty and graduate research assistants are available to advise and collaborate on data analysis.
Request for Resources
As requests for assistance have increased, we have decided to implement the use of a request form. This will allow us to better understand the needs of faculty. Please complete the request form. Please skip forward to get to the Methods CORE questions.
Coordination to Support GIM Research Initiatives
To support GIM research initiatives such as Cancer, Women's Health, and Medical Informatics, the Core organizes, coordinates, and performs group projects. The goal is to encourage collaborative efforts and boost research productivity.
Methods Core Faculty
The Methods Core Director is Jessica Yeh, Ph.D., Assistant Professor of Medicine and Epidemiology. Dr. Yeh earned her PhD in the Department of Epidemiology with research focused on diabetes and obesity. She is an expert in epidemiologic analysis with broad experience in a wide variety of topics and data structures. She is also an accomplished mentor with leadership roles in the Osler Housestaff Research Program and the Diabetes Research & Training Center Prevention & Control Core.