Quantitative Health Sciences is a multidisciplinary group of biostatisticians, epidemiologists, outcomes researchers, database developers and programmers that conducts translational medical research to improve patient care. Our teams collaborate with clinical investigators on human-based study design and statistical analysis.
More About UsThe Jeevanatham Rajeswaran research program develops models to forecast cardiac procedure outcomes, including reinterventions and survival.
Learn MoreThe Olivia Hogue research program studies translational science and the factors involved in the success of new interventions.
Learn MoreThe Dalton research program models complex systems to understand how social, behavioral and environmental factors affect health.
Learn MoreInvestigators in Quantitative Health Sciences include a diverse group of scientists, ranging in disciplines and specialties, who collaborate with clinical researchers across Cleveland Clinic, outside institutions and industry partners.
Learn MoreDr. Mike Kattan, who served as Chair of Quantitative Health Sciences for 20 years, innovated modern statistical prediction methods for medical decision making and developed more than 100 prediction tools.
The Daniel Rotroff Lab is teaming up with ophthalmologists to identify molecules that predict who will experience relief from eye pain after cataract surgery.
Investigators are developing a deep learning model to predict health outcomes in ICUs.
Exciting investigation and groundbreaking discovery happens every day at Cleveland Clinic. Join our team of expert researchers at the Department of Quantitative Health Sciences.
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