Contact information
Research groups
Colleges
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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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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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
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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
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Incident Use of Hydroxychloroquine for the Treatment of Rheumatoid Arthritis and Systemic Lupus Erythematosus During the COVID-19 Pandemic.
Journal article
Mercadé-Besora N. et al, (2024), Arthritis care res (hoboken), 76, 1173 - 1178
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Machine learning and statistical models to address cluster-level confounding for the study of medical devices and surgical epidemiology using observational data
Thesis / Dissertation
Du M., (2024)