Publications

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Londoño, C., Cayssials, V., de Villasante, I., Crous-Bou, M., Scalbert, A., Weiderpass, E., Agudo, A., Tjønneland, A., Olsen, A., Overvad, K., Katzke, V., Schulze, M., Palli, D., Krogh, V., de Magistris, M. S., Tumino, R., Ricceri, F., Gram, I. T., Rylander, C. ... Zamora-Ros, R. (2021). Polyphenol intake and epithelial ovarian cancer risk in the european prospective investigation into cancer and nutrition (Epic) study. Antioxidants, 10(8), Article 1249. https://doi.org/10.3390/antiox10081249
Hadrup, N., Frederiksen, M., Wedebye, E. B., Nikolov, N. G., Carøe, T. K., Sørli, J. B., Frydendall, K. B., Liguori, B., Sajbaek, C. S., Wolkoff, P., Flachs, E. M., Schlünssen, V., Meyer, H. W., Clausen, P. A. & S. Hougaard, K. (2021). Potentiale for astma-induktion for 28 stoffer i rengøringsprodukter på sprayform: review og evaluering ved quantitative structure activity relationship (QSAR). Miljø og sundhed, 27(3), 30-46. http://miljoogsundhed.sst.dk/blad/ms2103.pdf
Hansen, W. A. H., Schlünssen, V., Jørs, E., Sekabojja, D., Ssempebwa, J. C., Mubeezi, R., Staudacher, P., Fuhrimann, S. & Hansen, M. R. H. (2021). Precision and accuracy of FEV1 measurements from the Vitalograph copd-6 mini-spirometer in a healthy Ugandan population. PLoS One, 16(6), Article e0253319. https://doi.org/10.1371/journal.pone.0253319
Ejlskov, L., Wulff, J., Kalkbrenner, A. E., Ladd-Acosta, C., Fallin, M. D., Lee, B. K. & Schendel, D. (2021). Prediction of Autism Risk From Family Medical History Data Using Machine Learning: A National Cohort Study From Denmark. Biological Psychiatry: Global Open Science, 1(2), 156-164. https://doi.org/10.1016/j.bpsgos.2021.04.007