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Mike Du
Postdoctoral Researcher in Health Data Sciences
I am a Postdoctoral Research Health Data Scientist in the NDORMS, University of Oxford Health data science division. Currently I am working on the DARWIN EU project as a health data scientist. My main research interests are advanced causal inference methods for treatment comparison studies in pharmacoepidemiology and medical device safety. I also have strong experience writing R packages for health data science research using OMOP CDM data.
Recent publications
CohortSymmetry: An R package to perform sequence symmetry analysis using the OMOP common data model
Preprint
Chen X. et al, (2025)
Causal Forests Versus Inverse Probability of Treatment Weighting to Adjust for Cluster-Level Confounding: A Parametric and Plasmode Simulation Study Based on US Hospital Electronic Health Record Data.
Journal article
Du M. et al, (2025), Pharmacoepidemiol Drug Saf, 34
Secular Trends in the Use of Valproate-Containing Medicines in Women of Childbearing Age in Europe: A Multinational DARWIN EU Network Study.
Journal article
Bellas L. et al, (2025), Pharmacoepidemiol Drug Saf, 34
mock: A R package for Mock Data Generation for the Observational Medical Outcomes Partnership Common Data Model
Journal article
Du M. et al, (2025), The Journal of Open Source Software, 10, 8178 - 8178
“Double Machine Learning for Causal Inference in High-Dimensional Electronic Health Records”
Preprint
Du M. et al, (2025)