As clinical data becomes easier to collect and the reliance of evidence-based research becomes important in patient care, the ability to synthesize data for medical is made more paramount. The Wright Center supports the increasingly data-driven clinical experience by providing access to quantitative researchers who can promote quality clinical and translational research. These individuals possess a vast array of expertise that is necessary for the continued translation of data-based knowledge to quality patient care. Click here to request biostatistical support.

Study Design

Quality experimental and study designs are key to producing impactful research projects. The Wright Center Biostatistics, Epidemiology and Research Design (BERD) Core members have considerable experience planning clinical trials, cohort studies, and other research designs intended for grant proposals and research studies.

Data Analysis

The data analysis phase of a research project is often considered the home stretch of clinical studies. BERD members have expertise in an array of analysis methodologies, with specialized areas of expertise including the analysis of longitudinal, spatial, wearable-sensor, and metabolomics data.

Education and Mentoring

BERD members are dedicated to providing researchers with training opportunities that contribute to improving the quality of research performed throughout VCU. Members hold seminars, workshops, and other education activities intended for clinicians and researchers with all levels of research experience.

Methodology Development

BERD members have considerable experience using statistical methodologies. An important aspect of our discipline is to develop methodology that can be used for data that are ill-suited for traditional analyses, as well as developing efficient and ethical study designs. Focusing on this aspect is very important as clinical data becomes easier to collect, but also more complex in its structure.

Cite & Submit: UL1TR002649

Publications supported by the Wright Center must cite the CTSA Grant number (UL1TR002649) and comply with the NIH Public Access Policy. We rely on these citations as a critical performance measure when reporting annual productivity to the NIH.

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