Benjamin Skov Kaas-Hansen
Assistant lecturer
Section of Biostatistics
Øster Farimagsgade 5 opg. B
1353 København K
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Severe Violence in Eastern Jutland 2003-2014
Kaas-Hansen, Benjamin Skov & Hansen, O. I., 2016.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Severe violence in Eastern Jutland 2003-2014: a pilot study [v1; not peer reviewed]: A pilot study [v1; not peer reviewed]
Kaas-Hansen, Benjamin Skov, 7 Nov 2015.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
Use of days alive without life support and similar count outcomes in randomised clinical trials – an overview and comparison of methodological choices and analysis methods
Granholm, A., Kaas-Hansen, Benjamin Skov, Lange, Theis, Munch, M. W., Harhay, M. O., Zampieri, F. G., Perner, Anders, Møller, Morten Hylander & Jensen, Aksel Karl Georg, 2023, In: BMC Medical Research Methodology. 23, 1, 12 p., 139.Research output: Contribution to journal › Journal article › Research › peer-review
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Using Machine Learning to Identify Patients at High Risk of Inappropriate Drug Dosing in Periods with Renal Dysfunction
Kaas-Hansen, Benjamin Skov, Leal Rodríguez, C., Placido, Davide, Thorsen-Meyer, H., Nielsen, A. P., Dérian, N., Brunak, Søren & Andersen, Stig Ejdrup, 2022, In: Clinical Epidemiology. 14, p. 213-223 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
adaptr: an R package for simulating and comparing adaptive clinical trials
Granholm, A., Jensen, Aksel Karl Georg, Lange, Theis & Kaas-Hansen, Benjamin Skov, 2022, In: Journal of Open Source Software. 7, 72, 1 p., 4284.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 185059892
Most downloads
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239
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 -
63
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