Translating Data Into Action
The DCRI pushes beyond what’s most apparent. By tapping the experience of Duke faculty statisticians and the real-world insights of practicing physicians, we find the question that most effectively probes the challenge in your research and the fullest potential in data it generates. The result: meaningful decisions reached more quickly and efficiently, evidence that has more immediate impact on patient care and datasets with value beyond the immediate analyses.
Where Do We Go From Here?
Utilizing rigorous, best-in-class tools and mathematical algorithms, our renowned biostatisticians and data scientists can tailor methods to the question. We find patterns within datasets that lead to stronger and more actionable insights. This approach of framing the right question to provide context and focus and applying optimal methods marks our work in:
The Knowledge to Predict
The Chinese philosopher Lao Tzu is said to have observed that those with knowledge don’t predict and those who predict lack knowledge. DCRI’s Center for Predictive Medicine is turning that ancient wisdom on its head using pools of data that have never been wider or deeper.
And we’re experts at linking unlimited patient-generated health data from electronic health records (EHR), clinical trial data, claims data, and other shared data to newly available giant data sets to answer what’s next.
Can randomized pragmatic trials fulfill their promise? In this white paper, the DCRI's Michael Pencina, PhD, and his co-authors examine how researchers can find more efficient ways to conduct studies.
Illustrating Informed Presence Bias in EHRs
EHR data have a number of appealing characteristics, but they also pose a number of analytic challenges. How a patient interacts with a health system can influence which data are recorded in the EHR. Benjamin Goldstein, PhD, and his colleagues explore the implications.
Clinical Trial Design: Statistical Approaches and Considerations
Learn more about how the DCRI is transforming clinical trial design in this presentation by Michael J. Pencina, PhD, DCRI faculty associate director and professor of Biostatistics and Bioinformatics.