Benjamin Skov Kaas-Hansen
Assistant lecturer
Section of Biostatistics
Øster Farimagsgade 5 opg. B
1353 København K
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Abnormal serum levels of magnesium, phosphate, and zinc in ICU patients—Characteristics, management, and outcomes: The WhyTrace cohort study
Vesterlund, G. K., Thorsen-Meyer, H. C., Møller, Morten Hylander, Brunak, Søren, Strøm, T., Perner, Anders & Kaas-Hansen, Benjamin Skov, 2023, In: Acta Anaesthesiologica Scandinavica. 67, 7, p. 925-935 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
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An overview of methodological considerations regarding adaptive stopping, arm dropping and randomisation in clinical trials
Granholm, A., Kaas-Hansen, Benjamin Skov, Lange, Theis, Schjørring, O. L., Andersen, L. W., Perner, Anders, Jensen, Aksel Karl Georg & Møller, Morten Hylander, 2023, In: Journal of Clinical Epidemiology. 153, p. 45-54 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Association between days alive without life support/out of hospital and health-related quality of life
Granholm, A., Schjorring, O. L., Jensen, Aksel Karl Georg, Kaas-Hansen, Benjamin Skov, Munch, M. W., Klitgaard, T. L., Crescioli, E., Kjaer, M. N., Strom, T., Lange, Theis, Perner, Anders, Rasmussen, B. S. & Møller, Morten Hylander, 2023, In: Acta Anaesthesiologica Scandinavica. 67, 6, p. 762-771 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
Beyond access to medicines: Eliciting high-income country support for a new global health research and development paradigm
Regmi, S., Kaas-Hansen, Benjamin Skov & Iversen, J. H., 2013, In: Journal of Global Health. 3, 2, 6 p., 020303.Research output: Contribution to journal › Review › Research › peer-review
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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
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Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study
Burn, E., You, S. C., Sena, A. G., Kostka, K., Abedtash, H., Abrahão, M. T. F., Alberga, A., Alghoul, H., Alser, O., Alshammari, T. M., Aragon, M., Areia, C., Banda, J. M., Cho, J., Culhane, A. C., Davydov, A., DeFalco, F. J., Duarte-Salles, T., DuVall, S., Falconer, T. & 49 others, , 2020, In: Nature Communications. 11, 1, 11 p., 5009.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, , 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
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Development of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients
Placido, Davide, Thorsen-Meyer, H., Kaas-Hansen, Benjamin Skov, Reguant, R. & Brunak, Søren, 2023, In: PLOS Digital Health. 2, 6, 18 p., e0000116.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 185059892
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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
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79
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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
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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
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