The Department of Quantitative Health Sciences (QHS) collaborates with Cleveland Clinic (CC) investigators in a wide variety of analytical and computational domains. QHS has members with expertise in many areas of biostatistics, including longitudinal data, survival analysis, diagnostic test evaluation, single- and multi-center clinical trial design (all phases), statistical genetics, and prediction modeling. Other members specialize in quality of life assessment, health evaluation, and health services research. QHS has considerable expertise in database development including the Oracle, Oracle Clinical and ASP.net platforms. QHS members are experienced in NIH grant development, teaching research methodology at all levels, and writing and reviewing for medical journals. In addition, each professional staff member pursues his/her own independent scholarly research in a variety of areas, including research methodology, education, and information technology.

QHS has 4 Sections. The Biostatistics Section provides general study design and statistical analysis for a wide range of clinical research. The Clinical Trials Design and Analysis Section provides collaborative support for clinical trials, especially on multi-center studies. The Health Outcomes Research and Clinical Epidemiology Section provides expertise on medical decision making, such as prediction model software development, decision analysis, cost-effectiveness analysis, and quality of life assessment. The Statistical Genetics and Bioinformatics Section provides collaborative support for genetic and proteomic studies and specializes in novel methods for analysis of genetic, genomic and proteomic data. The Research Informatics Core designs, builds, and hosts research databases.

The central mission of QHS is research. To this end, we coauthored 232 publications last year. Of these, 33 were methodological in nature or had a QHS member as either the lead or senior author. We help develop grants with CC investigators free of charge when they include our salary support. Last year, we received $4,073,695 in research funding.