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 translating clinical questions into testable research hypotheses, designing studies to address the clinical questions, and all aspects of data analysis (data-driven discovery, model building and validation, hypothesis testing, development of new statistical methods).
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 MoreThe new biomarkers may change what we know about how to detect liver cancer early and improve screening.
A novel finding indicates a gene contributes to patient response to weight loss medications.
Cleveland Clinic has developed a low-cost, automated tool based on chart data to catch patients who may benefit from early cognitive screening for dementia.
Exciting investigation and groundbreaking discovery happens every day at Cleveland Clinic. Join our team of expert researchers at the Department of Quantitative Health Sciences.
View Careers