Quantitative Health Sciences investigators are conducting high-impact research across a variety of disciplines and approaches.Explore all labs in Quantitative Health Sciences
The Biostatistics Section helps Cleveland Clinic investigators design studies and analyze data. Our statisticians determine how many subjects are needed, what needs to be measured, and the most appropriate methods for analysis.
Staff Lead: Edward Mascha, PhD
Cleveland Clinic's Center for Populations Health Research studies the widespread health effects of social, behavioral, political and environmental exposures and seeks to understand how interventions like community partnerships, public health policies and others may affect them and improve outcomes. The Center has interdisciplinary members from across Cleveland Clinic, with representation from researchers, physicians and administrative personnel.
The Center is supported by a core team based in Quantitative Health Sciences with expertise in statistical programming, epidemiology, health services research, statistical analysis, scientific writing and project management.
Staff Lead: Jarrod Dalton, PhD
The Clinical Trials Design & Analysis Section works with Cleveland Clinic investigators to design and conduct small and large single- and multi-center randomized clinical trials. We also perform interim and final analyses and assist in reporting results.
Staff Lead: Gerry Beck, PhD
The Health Outcomes Research & Clinical Epidemiology Section provides physicians with quality-of-life assessment tools, cost effectiveness analyses, and epidemiological research. We develop and test state-of-the-art models for use in outcome risk calculators for cancers, heart disease, diabetes, etc., and help physicians determine the best choices for patient care.
Staff Lead: Michael Kattan, PhD
The Statistical Genetics & Bioinformatics Section works with investigators to design, conduct, and interpret analyses of genetic data. We can help you with a variety of genetic studies, including gene expression, genome-wide association, eQTL, integrated omic and next-generation sequencing studies.
Staff Lead: John Barnard, PhD
The Research Informatics & Data Engineering Core provides data extraction, registry development, and maintenance for clinical research studies including those for outcomes as well as drug and device trials. We also develop and host databases for disease and treatment registries and create tools for data management.
Staff Leads: Alex Milinovich; Mike Kattan, PhD
Quantitative Health Sciences routinely partners with various industry sponsors to engage in collaborative research. We curate the data in our electronic health record (EPIC) for trends in particular diagnoses, treatments, or outcomes. Often, we build prediction models linking patient baseline characteristics to important clinical outcomes. Cleveland Clinic utilizes EPIC My Practice across the entire organization (installed in 1998). The EHR includes patient demographics, social, medical, family and surgical history, vital signs, imaging data and pathology reports, and rich longitudinal clinical data (diagnosis, procedures, etc.) from both the inpatient and outpatient records. It contains discrete data linkage with Cleveland Clinic laboratory records, and detailed medication usage information. In 2014, Cleveland Clinic set a new annual record for outpatient visits (almost 6 million), and has > 1 million active patients (2 or more encounters within the past 12 months). Our partners have included Amgen, AstraZeneca, Bayer, Boehringer-Ingelheim, Merck, Novo Nordisk, Celgene and Otsuka. For more information, please contact Michael Kattan, PhD, Department Chair, at firstname.lastname@example.org.