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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
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Trends in prescription opioid use in Europe: A DARWIN EU® multinational cohort study including seven European countries
Journal article
Xie J. et al, (2025), Frontiers in pharmacology, 16
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“Double Machine Learning for Causal Inference in High-Dimensional Electronic Health Records”
Preprint
Du M. et al, (2025)
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Causal Forests versus Inverse Probability of Treatment Weighting to adjust for Cluster-Level Confounding: A Parametric and Plasmode Simulation Study based on US Hosptial Electronic Health Record Data
Preprint
Du M. et al, (2025)
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Treatment of systemic lupus erythematosus: Analysis of treatment patterns in adult and paediatric patients across four European countries.
Journal article
Du M. et al, (2024), Eur j intern med, 130, 106 - 117
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Cardinality matching versus propensity score matching for addressing cluster-level residual confounding in implantable medical device and surgical epidemiology: a parametric and plasmode simulation study.
Journal article
Du M. et al, (2024), Bmc med res methodol, 24