The Methods Core research staff has experience in a wide range of data collection, management, and analysis techniques.
To engage our staff, please contact Andrea Flores to discuss your research needs and staff availability. Staff are available on an hourly basis or as a percentage of effort. Investigators will receive up to two hours of free consulting for the planning of larger projects. As an introduction to the Methods Core, investigators will receive up to one hour of free staff time to complete small projects.
Research staff may be engaged for a percentage of effort, with a minimum of 10% over a 12-month period. (This could be in the form of 20% over six months, or 40% over three months, etc.) For each 1% of (annualized) effort, there is an additional $145 charge for non-personnel items.
For smaller projects, the research staff may be retained on an hourly basis*:
- $95/hour -- Senior Consultant
- $80/hour -- Methods Core Director & Faculty
- $60/hour -- Statistical and Programming Staff
- $35/hour -- Research Support Staff
- $25/hour -- Student Research Support
*MC fees will change effective January 1st, 2019. Updated fees will be posted shortly.
For data acquisition, you will need access to a lab share on the Center for Research Informatics' (CRI) storage system. Lab shares are available to BSD faculty at no charge for allocation up to 4 TB. Lab shares are available to non BSD faculty and other university investigators for a charge. Contact us for more information on how to navigate this process. Ask about having us manage your account and lab share. The Methods Core charges $300 per year as a lab management fee. This is for us to serve as interface with CRI, manage your lab, give access to new users per your request, create new collaborator accounts and other similar administrative tasks.
These rates apply for payments from University accounts, and invoices for hourly charges are sent out at the end of each month. Please contact us to discuss non-UChicago or non-academic rates.
Andrea Flores, MA, Director CHeSS Methods Core
Andrea Flores is the Director of the CHeSS Methods Core and has 15 years of experience in health services research as a programmer, analyst, data manager and project manager. Ms. Flores holds a Master's Degree in Public Policy from the Harris School at UChicago and a bachelor's degree in Economics from the University of Chile. She has worked with a broad range of data and can provide assistance and guidance with data collection, management and analysis. Previous to her current position, Ms. Flores had a leading role in data collection and processing for the Hospitalist Project and Comprehensive Care Physician Program led by Dr. David Meltzer. Her personal interests include program evaluation, social determinants of health and health assessment tools.
Sandra Ham, MS
Sandra Ham has more than 20 years of experience in research methods and data analysis. At the Centers for Disease Control and Prevention, where she worked for ten years before coming to the University of Chicago, she used survey research methods, statistical analysis, and Healthy People objectives to oversee public health surveillance. Ms. Ham has earned a Master’s Degree in nutrition, a Master's Degree from the Divinity School at UChicago, and a Bachelor’s Degree in mechanical engineering. Her areas of expertise include survey research and research methods; data management; statistical programming and analysis in SAS, Stata, and R; data visualization; surveillance epidemiology; policy and health recommendations and evaluation; obesity and the psychology of eating; multidisciplinary research; agent-based modeling; and social sequence analysis.
Thomas Best, PhD
Tom is an Assistant Professor in the department of Health Informatics and Administration within the College of Health Sciences at the University of Wisconsin - Milwaukee. In addition, he supports research, analytics and quality improvement for the Methods Core and the Section of Hospital Medicine as a consultant on special projects. He has over 10 years of experience with research, analytics and quality improvement within CHeSS, the University of Chicago Medicine and the University of Wisconsin Hospital and Clinics. During this time he has gained expertise with C++, Ruby, R, system simulation programs such as Arena and NetLogo, and providing program management or quality improvement support for section and organization wide initiatives. He holds a PhD in Operations Management from the Booth School and a Master's of Industrial Engineering (with an emphasis on Health Systems) from the University of Wisconsin-Madison.
John Cursio, PhD
John is a Research Assistant Professor from the Biostatistics Laboratory in the Department of Public Health Sciences. He has over 25 years of experience analyzing data in government, industry, and academic hospital settings. His past projects include analysis of clinical trials data in women and minority health populations, quality measurement of stroke care, and pain management of elderly patients. Currently, John develops longitudinal mixed-effects models for the Comprehensive Care Program. He holds a PhD in Biostatistics from the University of Illinois at Chicago and has expertise in missing data techniques for intensive longitudinal data.