CCTS 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 CCTS Scientific Meeting November 2020.
The Biostatistics, Epidemiology, and Research Design (BERD) Core of the Center for Clinical and Translational Sciences (CCTS) 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 OSU 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 OSU and NCH through the following Aims:
- Collaborate with CCTS investigators at both OSU and NCH 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 ccts-biostat@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. Support requests are prioritized according to the aims of the CCTS. Support for data analysis can be obtained through the CCTS Voucher Program for qualifying projects.
Highest Priority:
- Collaborative teams
- Funded CCTS Pilot Projects
- Funded NIH K or T awards
- New unfunded investigators with a senior mentor or submitting a proposal for funding