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A precise performance-based reimbursement model for the multi-centre NAPKON cohorts - development and evaluation.
Appel KS, Lee CH, Nunes de Miranda SM, Maier D, Reese JP, Anton G, Bahmer T, Ballhausen S, Balzuweit B, Bellinghausen C, Blumentritt A, Brechtel M, Chaplinskaya-Sobol I, Erber J, Fiedler K, Geisler R, Heyder R, Illig T, Kohls M, Kollek J, Krist L, Lorbeer R, Miljukov O, Mitrov L, Nürnberger C, Pape C, Pley C, Schäfer C, Schaller J, Schattschneider M, Scherer M, Schulze N, Stahl D, Stubbe HC, Tamminga T, Tebbe JJ, Vehreschild MJGT, Wiedmann S, Vehreschild JJ. Appel KS, et al. Among authors: balzuweit b. Sci Rep. 2024 Jun 13;14(1):13607. doi: 10.1038/s41598-024-63945-5. Sci Rep. 2024. PMID: 38871878 Free PMC article.
Analysis of acute COVID-19 including chronic morbidity: protocol for the deep phenotyping National Pandemic Cohort Network in Germany (NAPKON-HAP).
Steinbeis F, Thibeault C, Steinbrecher S, Ahlgrimm Y, Haack IA, August D, Balzuweit B, Bellinghausen C, Berger S, Chaplinskaya-Sobol I, Cornely O, Doeblin P, Endres M, Fink C, Finke C, Frank S, Hanß S, Hartung T, Hellmuth JC, Herold S, Heuschmann P, Heyckendorf J, Heyder R, Hippenstiel S, Hoffmann W, Kelle SU, Knape P, Koehler P, Kretzler L, Leistner DM, Lienau J, Lorbeer R, Lorenz-Depiereux B, Lüttke CD, Mai K, Merle U, Meyer-Arndt LA, Miljukov O, Muenchhoff M, Müller-Plathe M, Neuhann J, Neuhauser H, Nieters A, Otte C, Pape D, Pinto RM, Pley C, Pudszuhn A, Reuken P, Rieg S, Ritter P, Rohde G, Rönnefarth M, Ruzicka M, Schaller J, Schmidt A, Schmidt S, Schwachmeyer V, Schwanitz G, Seeger W, Stahl D, Stobäus N, Stubbe HC, Suttorp N, Temmesfeld B, Thun S, Triller P, Trinkmann F, Vadasz I, Valentin H, Vehreschild M, von Kalle C, von Lilienfeld-Toal M, Weber J, Welte T, Wildberg C, Wizimirski R, Zvork S, Sander LE, Vehreschild J, Zoller T, Kurth F, Witzenrath M. Steinbeis F, et al. Among authors: balzuweit b. Infection. 2024 Feb;52(1):93-104. doi: 10.1007/s15010-023-02057-0. Epub 2023 Jul 11. Infection. 2024. PMID: 37434025 Free PMC article.
Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients.
Koll CEM, Hopff SM, Meurers T, Lee CH, Kohls M, Stellbrink C, Thibeault C, Reinke L, Steinbrecher S, Schreiber S, Mitrov L, Frank S, Miljukov O, Erber J, Hellmuth JC, Reese JP, Steinbeis F, Bahmer T, Hagen M, Meybohm P, Hansch S, Vadász I, Krist L, Jiru-Hillmann S, Prasser F, Vehreschild JJ; NAPKON Study Group. Koll CEM, et al. Sci Data. 2022 Dec 21;9(1):776. doi: 10.1038/s41597-022-01669-9. Sci Data. 2022. PMID: 36543828 Free PMC article.