Long Nguyen
Assistant professor
Section of Epidemiology
Bartholinsgade 6Q, bg. 24, 1356 København K, CSS, bg. 24, Building: 24.2.xx
Primary fields of research
My research focuses on method development in prediction modelling and causal inference. Although there is often a clear distinction between these two paradigms in epidemiology, I believe that methodological advances made within each area could enrich that of the other. I think that innovative methods helping researchers address current challenges in public health can be born from bridging separated worlds of knowledge.
I mainly work in the methodology of prognostic modelling - both for predictive and causal inference purposes. My methods focuses on the use of prognostic scores for prediction, but also estimation of population-level and individualised patient-level causal effects. My methodological work applies to both experimental studies and observational studies. For causal inference in observational studies, I also work on other methods based on counterfactual framework (e.g. matching methods, model-based standardization, inverse probability weighting, propensity score analysis.)
Teaching
I am involved in different courses at the University of Copenhagen:
- "Prognostic Research in Precision Public Health", PhD course (course leader)
- "Playfulness and Connection in Teaching", PhD course (course leader)
- "Precision Medicine in Public Health", MSc course (couse co-leader)
- "Epidemiological Methods in Medical Research", PhD course (teacher)
- "Statistics, Epidemiology and Social Medicine", medical studies (teacher)
ID: 214000902
Most downloads
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80
downloads
The use of prognostic scores for causal inference with general treatment regimes
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
59
downloads
Microbial contamination and tissue procurement location: A conventional operating room is not mandatory. An observational study
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
51
downloads
‘Standing together – at a distance’: Documenting changes in mental-health indicators in Denmark during the COVID-19 pandemic
Research output: Contribution to journal › Journal article › Research › peer-review
Published