Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy von Fleuren, Lucas M., Klausch, Thomas L. T., Zwager, Charlotte L., Schoonmade, Linda J., Guo, Tingjie, Roggeveen, Luca F., Swart, Eleonora L., Girbes, Armand R. J., Thoral, Patrick, Ercole, Ari, Hoogendoorn, Mark, Elbers, Paul W. G.

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Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock - rationale and design of a multicenter randomized controlled superiority... von Roggeveen, Luca F, Fleuren, Lucas M, Guo, Tingjie, Thoral, Patrick, de Grooth, Harm Jan, Swart, Eleonora L, Klausch, Thomas L T, van der Voort, Peter H J, Girbes, Armand R J, Bosman, Rob J, Elbers, Paul W G

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Machine learning in intensive care medicine: ready for take-off? von Fleuren, Lucas M., Thoral, Patrick, Shillan, Duncan, Ercole, Ari, Elbers, Paul W. G.

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Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse von Fleuren, Lucas M., de Bruin, Daan P., Tonutti, Michele, Lalisang, Robbert C. A., Elbers, Paul W. G.

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Assessing real-world representativeness of prospective registry cohorts in oncology: insights from patients with esophagogastric cancer von Kuijper, S.C., Besseling, J., Klausch, T., Slingerland, M., Zijdene, C.J. van der, Kouwenhoven, E.A., Beerepoot, L.V., Mohammad, N.H., Klarenbeek, B.R., Verhoeven, R.H.A., Laarhoven, H.W.M. van

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Development of a Multiomics Database for Personalized Prognostic Forecasting in Head and Neck Cancer: The Big Data to Decide EU Project von Cavalieri, Stefano, Cecco, L. de, Brakenhoff, R.H, Serafini, M.S, Canevari, S, Rossi, S, Lanfranco, D, Hoebers, F.J.P, Wesseling, F.W.R, Keek, S, Scheckenbach, K, Mattavelli, D, Hoffmann, T, López Pérez, L, Fico, G, Bologna, M, Nauta, I, Leemans, C.R, Trama, A, Klausch, T, Berkhof, J.H, Tountopoulos, V, Shefi, R, Mainardi, L, Mercalli, F, Poli, T, Licitra, L, Wesarg, S, et al

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Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy von Fleuren, Lucas M, Klausch, Thomas L. T, Zwager, Charlotte L, Schoonmade, Linda J, Guo, Tingjie, Roggeveen, Luca F, Swart, Eleonora L, Girbes, Armand R. J, Thoral, Patrick, Ercole, Ari, Hoogendoorn, Mark, Elbers, Paul W. G

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Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy von Fleuren, Lucas M, Klausch, Thomas L. T, Zwager, Charlotte L, Schoonmade, Linda J, Guo, Tingjie, Roggeveen, Luca F, Swart, Eleonora L, Girbes, Armand R. J, Thoral, Patrick, Ercole, Ari, Hoogendoorn, Mark, Elbers, Paul W. G

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Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy von Fleuren, Lucas M, Klausch, Thomas LT, Zwager, Charlotte L, Schoonmade, Linda J, Guo, Tingjie, Roggeveen, Luca F, Swart, Eleonora L, Girbes, Armand RJ, Thoral, Patrick, Ercole, Ari, Hoogendoorn, Mark, Elbers, Paul WG

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Tree-based Machine Learning Methods for Survey Research von Kern, Christoph, Klausch, Thomas, Kreuter, Frauke

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Die Entwicklung des Gesetzentwurfs zur Landkreisneugliederung in Brandenburg: Responsivität im Detail – Differenzen bei Grundsatzfragen von Klausch, Martin

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Planspielangebote der Landesparlamente. Eine Bestandsaufnahme von Anger, Tim-Niklas, Klausch, Martin

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The Neurotrophin System in the Postnatal Brain-An Introduction von von Bohlen Und Halbach, Oliver, Klausch, Monique

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Fitting a progressive three-state colorectal cancer model to interval-censored surveillance data under outcome-dependent sampling using a weighted likelihood approach von Akwiwu, Eddymurphy U, Klausch, Thomas, Jodal, Henriette C, Carvalho, Beatriz, Løberg, Magnus, Kalager, Mette, Berkhof, Johannes, Coupé, Veerle M H

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Selection error in single- and mixed mode surveys of the Dutch general population von Klausch, Thomas, Hox, Joop, Schouten, Barry

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Psychometric properties of the PROMIS Physical Function item bank in patients receiving physical therapy von Crins, Martine H P, van der Wees, Philip J, Klausch, Thomas, van Dulmen, Simone A, Roorda, Leo D, Terwee, Caroline B

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Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates von Schuster, Noah A, Rijnhart, Judith J M, Bosman, Lisa C, Twisk, Jos W R, Klausch, Thomas, Heymans, Martijn W

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Medication adherence in older people with rheumatoid arthritis is lower according to electronic monitoring than according to pill count von Hartman, Linda, Cutolo, Maurizio, Bos, Reinhard, Opris-Belinski, Daniela, Kok, Marc R, Griep-Wentink, Hanneke J R M, Klaasen, Ruth, Allaart, Cornelia F, Bruyn, George A W, Raterman, Hennie G, Voshaar, Marieke J H, Gomes, Nuno, Pinto, Rui M A, Klausch, L Thomas, Lems, Willem F, Boers, M

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Estimation of predictive performance in high-dimensional data settings using learning curves von Goedhart, Jeroen M., Klausch, Thomas, van de Wiel, Mark A.

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A critical role for collagen II in cartilage matrix degradation: Collagen II induces pro-inflammatory cytokines and MMPs in primary human chondrocytes von Klatt, Andreas R., Paul-Klausch, Brigitte, Klinger, Gabriele, Kühn, Getrud, Renno, Joerg H., Banerjee, Marc, Malchau, Gebhart, Wielckens, Klaus

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