The Department of Quantitative Health Sciences has expertise in all aspects of clinical research. From study design to statistical analysis to preparing funding applications, we will help you and your department achieve sound scientific results from your research project in a timely manner. Each year, we co-author hundreds of publications and receive millions of dollars in external funding. We have the knowledge and skills to partner with each Cleveland Clinic Institute.
Cleveland Clinic has its own team of biostatisticians, epidemiologists, outcomes researchers, database developers and programmers in the Department of Quantitative Health Sciences. Our pledge is to be better, faster, and/or less expensive than any research group that operates outside Cleveland Clinic. To find out more about how we can serve you, try our Skill Finder.
Here are just a few areas the department specializes in:
The Department is available to all Cleveland Clinic physicians, researchers, and support staff on a pay-as-you-go or dedicated-FTE fee basis. Do you need help training staff for an upcoming research project? We will teach your residents, fellows, medical students and support team about conducting clinical studies, efficient data collecting methods, and other important research skills.
Read more in our department brochure (PDF).
Determining a reasonable sample size for a multi-reader diagnostic accuracy study can be challenging. Computer-aided detection (CAD) studies are particularly challenging because the reader can detect more than one suspicious finding per patient. To determine sample size, one must take into consideration the correlation between findings from the same patient. In this paper, Obuchowski and Hillis extend previous work on sample size calculations to studies with potentially multiple findings per patient. They present tables which provide ball-park estimates of sample size for multiple reader studies with multiple findings per patient. Click here for more.
There has been a well documented increased risk of diminished outcomes following kidney transplantation among African American recipients relative to other race/ethnic groups. Studies suggest that this association is based on multiple factors including immunological responses and socioeconomic conditions. In this study, using a national cohort of recipients in the United States,Schold et al. determined that this relative risk is marked among younger age groups but highly attenuated and even eliminated among older recipients. Findings have important implications for organ allocation policy, transplant candidacy decisions and for improved understanding of the etiology of diminished outcomes among African American transplant recipients. Click here for more.
Lerner Research Institute
Cleveland Clinic, Mail Code NB21
9500 Euclid Avenue
Cleveland, Ohio 44195
