Benjamin Skov Kaas-Hansen

Assistant lecturer

Section of Biostatistics
Øster Farimagsgade 5 opg. B
1353 København K
- zqw524@sund.ku.dk
- https://biostat.ku.dk/

ORCID: 0000-0003-1023-0371

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Research

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Published
Design considerations in clinical trials with adaptive stopping, arm-dropping and randomisation
Granholm, A., Kaas-Hansen, Benjamin Skov, Lange, T., Schjorring, O., Andersen, L., Perner, Anders, Jensen, A. & Møller, M., 2022, p. S88-S89. 2 p.
Research output: Contribution to conference › Conference abstract for conference › 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
Published
Health-related quality of life and days alive without life support or out of hospital: protocol
Granholm, A., Schjørring, O. L., Jensen, Aksel Karl Georg, Kaas-Hansen, Benjamin Skov, Munch, M. W., Klitgaard, T. L., Crescioli, E., Kjaer, M. N., Strøm, T., Perner, Anders, Rasmussen, B. S. & Møller, Morten Hylander, 2022, In: Acta Anaesthesiologica Scandinavica. 66, 2, p. 295-301 7 p.
Research output: Contribution to journal › Journal article › Research › peer-review
Published
Patient-Important Outcomes Other Than Mortality in Contemporary ICU Trials: A Scoping Review
Granholm, A., Anthon, C. T., Kjær, M. N., Maagaard, M., Kaas-Hansen, Benjamin Skov, Sivapalan, P., Schjørring, O. L., Andersen, L. W., Mathiesen, Ole, Strøm, T., Jensen, Aksel Karl Georg, Perner, Anders & Møller, Morten Hylander, 2022, In: Critical Care Medicine. 50, 10, p. e759-e771 13 p.
Research output: Contribution to journal › Review › Research › peer-review
Published
Is the CYP2D6 Genotype Associated with Antipsychotic-Induced Weight Gain?
Jürgens, Gesche, Kaas-Hansen, Benjamin Skov, Nordentoft, Merete, Werge, Thomas & Andersen, Stig Ejdrup, Oct 2022, In: Journal of Personalized Medicine. 12, 10, 12 p., 1728.
Research output: Contribution to journal › Journal article › Research › peer-review
Published
Eliciting drug safety signals from patient records: a language-agnostic approach
Kaas-Hansen, Benjamin Skov, Placido, Davide, Rodriguez, C., Thorsen-Meyer, H., Gentile, S., Nielsen, A., Brunak, Søren, Jürgens, Gesche & Andersen, S., 2022, p. S15-S16. 2 p.
Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Published
Causal inference for planning randomised critical care trials: protocol for a scoping review
Kaas-Hansen, Benjamin Skov, Granholm, A., Anthon, C. T., Kjær, M. N., Sivapalan, P., Maagaard, M., Schjørring, O. L., Fagerberg, S. K., Ellekjær, K. L., Mølgaard, J., Ekstrøm, Claus Thorn, Møller, Morten Hylander & Perner, Anders, Oct 2022, In: Acta Anaesthesiologica Scandinavica. 66, 10, p. 1274–1278 5 p.
Research output: Contribution to journal › Journal article › Research › peer-review
Published
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter]
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. 765-766 2 p.
Research output: Contribution to journal › Comment/debate › Research
Published
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
Pharmacovigilant Machine Learning in Big Data?
Kaas-Hansen, Benjamin Skov, 2022
Research output: Book/Report › Ph.D. thesis › Research

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ID: 185059892

Research

Benjamin Skov Kaas-Hansen

Section of Biostatistics

Design considerations in clinical trials with adaptive stopping, arm-dropping and randomisation

adaptr: an R package for simulating and comparing adaptive clinical trials

Health-related quality of life and days alive without life support or out of hospital: protocol

Patient-Important Outcomes Other Than Mortality in Contemporary ICU Trials: A Scoping Review

Is the CYP2D6 Genotype Associated with Antipsychotic-Induced Weight Gain?

Eliciting drug safety signals from patient records: a language-agnostic approach

Causal inference for planning randomised critical care trials: protocol for a scoping review

Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter]

Using Machine Learning to Identify Patients at High Risk of Inappropriate Drug Dosing in Periods with Renal Dysfunction

Pharmacovigilant Machine Learning in Big Data?

Most downloads

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

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

Different Original and Biosimilar TNF Inhibitors Similarly Reduce Joint Destruction in Rheumatoid Arthritis-A Network Meta-Analysis of 36 Randomized Controlled Trials