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Our research focuses on developing and applying cutting-edge analytic and data-sharing methods that integrate epidemiology, biostatistics, data science, and informatics to improve the validity, feasibility, and efficiency of multi-center studies, particularly in distributed data network studies that leverage routinely collected electronic health data.
Many of these methods support robust multivariable-adjusted statistical analysis without the need to share individual-level data, thereby providing better protection for patient privacy and confidentiality in multi-database studies.
Our guiding principles are:
Sending analysis to the data
Getting more (info) by asking for less (data)
Learn more about our approach to data sharing
Learn more about our ongoing projects and publications
An introductory video about data sharing in multi-database studies
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