Please thank the Diabetes Clinical and Translational Core in all publications that result from our services, as this will greatly improve future Diabetes Research Center grant renewals.

“Data was obtained using the services of the Diabetes Clinical and Translational Core Core facility of the Stanford Diabetes Research Center which is supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health under Award Number P30DK116074. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.”


Utilize or Contribute to the Biorepository

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Consult on Advanced Analytics (Study Design, Data Management, and Data Analysis)

A major mission of the Stanford Clinical & Translational Core (CTC) is to engage SDRC investigators on their data-related needs. The CTC will accomplish this through partnership with the Quantitative Sciences Unit (QSU). The QSU is a collaborative group of data scientists who engage in interdisciplinary research. Members of the QSU are available to collaborate on study design, data management, and analysis of diabetes-related studies initiated by SDRC investigators. The QSU offers professional data analysis using the most modern statistical techniques and secure HIPAA- and IRB-compliant management and coordination of data. The QSU engages in medical research with clinical and translational faculty on the medical campus in the following arenas: study design, statistical analysis, methods and software development, data management, data and safety monitoring board activities, and education and training in research methods.

For more details on the activities in which the QSU engages clinical and translational investigators, please see the QSU website.

https://med.stanford.edu/qsu.html

Importantly, if you are a member of the SDRC, or a fellow engaged in diabetes-related research whose mentor is a member of the SDRC, and you would like to discuss your study or data-related needs with the QSU, please visit the website and fill out a project initiation form to start the collaborative process.

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Receive Training in Biospecimen Preservation, Study Design, Data Analysis, Data Management, Use of Statistical Software, Clinical Trial Conduct

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