Claus Thorn Ekstrøm

Claus Thorn Ekstrøm

Professor

Member of:


    1. Published

      Antidiabetes Agents and Incident Depression: A Nationwide Population-Based Study

      Kessing, Lars Vedel, Rytgaard, Helene Charlotte Wiese, Ekstrøm, Claus Thorn, Knop, Filip Krag, Berk, M. & Gerds, Thomas Alexander, 2020, In: Diabetes Care. 43, 12, p. 3050-3060

      Research output: Contribution to journalJournal articleResearchpeer-review

    2. Published

      Antihypertensive Drugs and Risk of Depression

      Kessing, Lars Vedel, Rytgaard, Helene Charlotte Wiese, Ekstrøm, Claus Thorn, Torp-Pedersen, Christian, Berk, M. & Gerds, Thomas Alexander, 2020, In: Hypertension. 76, p. 1263-1279 17 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    3. Published

      Associations of the Inflammatory Marker YKL-40 with Measures of Obesity and Dyslipidaemia in Individuals at High Risk of Type 2 Diabetes

      Thomsen, S. B., Gjesing, A. M. P., Rathcke, C. N., Ekstrøm, Claus Thorn, Eiberg, Hans Rudolf Lytchoff, Hansen, T., Pedersen, Oluf Borbye & drb459, drb459, 21 Jul 2015, In: PLOS ONE. 10, 7, p. 1-10 10 p., e0133672.

      Research output: Contribution to journalJournal articleResearchpeer-review

    4. Published

      Bismuth adjuvant and adverse effects of chemotherapy: issues with statistical analyses

      Dalgaard, P., Ekstrøm, Claus Thorn & Kronborg, Dorte, 2018, In: Supportive Care in Cancer. 26, 6, p. 1685–1686 2 p.

      Research output: Contribution to journalComment/debateResearchpeer-review

    5. Published

      CVD: The intestinal crypt/villus in situ hybridization database

      Olsen, L., Hansen, M., Ekstrøm, Claus Thorn, Troelsen, J. T. & Olsen, J., 22 May 2004, In: Bioinformatics. 20, 8, p. 1327-1328 2 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    6. Published

      Can secretory immunoglobulin A in saliva predict a change in lung infection status in patients with cystic fibrosis? A prospective pilot study

      Alanin, M. C., Pressler, T., Aanæs, Kasper, Ekstrøm, Claus Thorn, Skov, M., Johansen, Helle Krogh, Nielsen, Kim G., von Buchwald, Christian & Høiby, Niels, 2018, In: Health Services Research. 1, 8, 5 p., e52.

      Research output: Contribution to journalJournal articleResearchpeer-review

    7. Published

      Caudal epidural co-administration of methadone and morphine in horses: An evaluation of analgesic properties and effects on locomotor function, mentation and physical examination parameters

      Rønnow Kjærulff, L. N., Dorch Lauritsen, N. J., Ekstrøm, Claus Thorn, Østergaard, Stine, Olsen, E., Hyldahl Laursen, S. & Lindegaard, Casper, 2021, In: Equine Veterinary Education. 33, 7, p. 360-367 8 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    8. Published

      Causal discovery for observational sciences using supervised machine learning

      Petersen, Anne Helby, Ramsey, J., Ekstrøm, Claus Thorn & Spirtes, P., 2023, In: Journal of Data Science. 21, 2, p. 255-280 26 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

    9. 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 journalJournal articleResearchpeer-review

    10. Published

      Causes of Outcome Learning: a causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome

      Rieckmann, Andreas, Dworzynski, P., Arras, L., Lapuschkin, S., Samek, W., Arah, O. A., Rod, Naja Hulvej & Ekstrøm, Claus Thorn, 2022, In: International Journal of Epidemiology. 51, 5, p. 1622–1636 15 p.

      Research output: Contribution to journalJournal articleResearchpeer-review

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    ID: 922397