TIDE’s portfolio of privacy-protecting analytic and data-sharing methods research, led by Sengwee Darren Toh, ScD, 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)
Her Q, Malenfant J, Zhang Z, Vilk Y, Young J, Tabano D, Hamilton J, Johnson R, Raebel M, Boudreau D, Toh S. A distributed regression analysis application in large distributed data networks: Analysis of precision and operational performance. JMIR Med Inform 2020;8(6):e15073
Toh S, Rifas-Shiman SL, Bailey LC, Forrest CB, Horgan CE, Lin PD, Lunsford D, Moyneur E, Sturtevant JL, Young JG, Block JP, on behalf of the PCORnet Antibiotics and Childhood Growth Study Group. Privacy-protecting multivariable-adjusted distributed regression analysis for multi-center pediatric study. Pediatr Res 2020;87(6):1086-1092
Shu D, Yoshida K, Fireman BH, Toh S. Inverse probability weighted Cox model in multi-site studies without sharing individual-level data. Stat Methods Med Res 2020;29(6):1668-1681
Li X, Fireman BH, Curtis JR, Arterburn DE, Fisher DP, Moyneur E, Gallagher M, Raebel MA, Nowell WB, Lagreid L, Toh S. Validity of privacy-protecting analytical methods that use only aggregate-level information to conduct multivariable-adjusted analysis in distributed data networks. Am J Epidemiol 2019;188(4):709-723
Toh S. Analytic and data sharing options in real-world multidatabase studies of comparative effectiveness and safety of medical products. Clin Pharmacol Ther 2020;107(4):834-842