CTSI Scientific Meeting

Please click HERE for more information about the poster “Integrated Approach to Secondary Data Analysis at Ohio State: Access, Research Support, and Education”, presented at the CTSI Scientific Meeting November 2020.

The Biostatistics, Epidemiology, and Research Design (BERD) Core of the Clinical and Translational Science Institute (CTSI) provides a centralized resource of expertise in the biostatistical, epidemiology and design aspects of clinical/translational, basic and population-based research. BERD supports translational investigators at both the Ohio State University and Nationwide Children’s Hospital (NCH) in response to the growing need for analytical support, education and methodological development. Such collaboration has been effective in correcting common design flaws which can invalidate conclusions, decrease efficiency and increase patient risk.

BERD is led by the Center for Biostatistics in conjunction with faculty from the Division of Biostatistics in the College of Public Health, Obstetrics & Gynecology and College of Pharmacy. Our methodological research and expertise spans clinical trials (including adaptive and cluster-randomized designs), causal inference, genetic epidemiology, high-throughput data analysis, analysis of ‘omics data (transcriptomics, metabolomics, proteomics), reproductive and pediatric epidemiology, survival analysis and multistate models, missing value imputation and statistical software development. We have worked with investigators spanning the full translational spectrum, including animal and cell culture studies, early and late phase trials, clinical data, longitudinal cohort studies and implementation science.

Our faculty and staff support clinical translational sciences at the Ohio State University and Nationwide Children's through the following Aims:

  • Collaborate with CTSI investigators at both the Ohio State University and Nationwide Children's in all aspects of quantitative translational research: design; reproducibility and scientific rigor; and statistical analysis. We will collaborate in planning and designing studies, develop infrastructure to support data coordinating services, and leverage existing databases/registries for research.
  • Train investigators on research design, reproducibility, and biostatistics as they relate to clinical and translational research.
  • Identify innovative and effective statistical methods in response to specific project needs that enhance study design quality, interpretation and communication of results.

For more information about BERD, email ctsidata@osumc.edu

Who Do We Collaborate With?

Biostatistical collaboration is provided for work on grant submissions without charge for qualifying investigators/projects. Projects must be clinical and translational in nature.

Highest Priority:

  • Collaborative teams
  • Funded CTSI Pilot Projects
  • Funded NIH K or T awards
  • New unfunded investigators with a senior mentor or submitting a proposal for funding