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 evidence-based care model recommends practitioners focus on key factors like physical activity and mobility issues to help patients age well.
Researchers investigate machine learning models’ ability to analyze electronic health records for patterns in disease development.
The model uses a patient’s records to estimate their gastric cancer risk and flag individuals who need preventative stomach cancer screening.
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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