Data analytics identify the top-performing practices in our research communities. The CTSC facilitates the integration of research with health systems management as well as with the community. We aim to encourage and expand program-wide inclusion of statistical and epidemiological collaborations in translational research studies. The programs listed below can provide researchers with guidance on optimal study design and analysis plans that lead to transparent and reproducible research. This includes developing and using novel innovative designs and analyses as needed.
The CTSC offers biostatistical services depending on your research needs. In the Case Comprehensive Cancer Center, the Biostatistics & Bioinformatics Core Facility (BBCF) provides and coordinates statistical, bioinformatics, and clinical informatics research support in the design, planning, conduct, analysis, and reporting of research studies. If you are interested in biostatistical support for your microarray data, the DNA and Next Generation Sequencing Core Facility provides assistance in all facets of experimentation from design to data analysis, including grant and manuscript preparations.
The core is focused on developing capacity to conduct population-based and outcomes research using population-based databases.
Services available for research involving population-based databases include:
- Advice and assistance to researchers on appropriate study design and data source(s)
- Access to appropriate database(s) and the ability to obtain the necessary data users' agreements and IRB approvals
- Analytic support to carry out the study
- Databases available through the Core's archive:
- Ohio Medicaid enrollment and claim forms (1991-2008)
- The Cancer Aging Linked Database (1997-2001)
- The Health and Retirement Study
- Hospital Discharge data
- National Inpatient Sample (NIS) databases (1988-2007)
- State Inpatient Databases (SID) for various states/years
- Linked data from the Ohio Department of Mental Health (ODMH) and death certificate data (2004-2007)
Continue to the Department of Population & Quantitative Health Sciences website