Benjamin Skov Kaas-Hansen
Assistant lecturer
Section of Biostatistics
Øster Farimagsgade 5 opg. B
1353 København K
ORCID: 0000-0003-1023-0371
Keywords
- Faculty of Health and Medical Sciences - Real-world data, Epidemiology, Bayesian Modelling, Machine learning, Data science, Artificial Intelligence (AI), Causal inference, Trial design, Real-world evidence, Simulation studies
ID: 185059892
Most downloads
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234
downloads
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
79
downloads
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
62
downloads
Different Original and Biosimilar TNF Inhibitors Similarly Reduce Joint Destruction in Rheumatoid Arthritis-A Network Meta-Analysis of 36 Randomized Controlled Trials
Research output: Contribution to journal › Review › Research › peer-review
Published