S. Hanß

The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics

Lennart M. Reinke, Sonja Kunze, C. von Kalle, 2022, European Journal of Epidemiology.

Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients

Marcus M. Scheunemann, Lennart M. Reinke, J. Papenbrock, 2022, Scientific data.

The DZHK research platform: maximisation of scientific value by enabling access to health data and biological samples collected in cardiovascular clinical studies

R. Schnabel, E. Nagel, T. Bahls, 2023, Clinical Research in Cardiology.

Integration of Decentralized Clinical Data in a Data Warehouse

T Tolxdorff, Sabine Hanss, T Schaaf, 2009, Methods of Information in Medicine.

Consistency as a Data Quality Measure for German Corona Consensus Items Mapped from National Pandemic Cohort Network Data Collections

S. Störk, A. Schoneberg, L. Krist, 2022, Methods of Information in Medicine.

The Importance of Being FAIR and FAST - The Clinical Epidemiology and Study Platform of the German Network University Medicine (NUKLEUS)

T. Illig, R. Lorbeer, W. Hoffmann, 2023, MIE.

Analysis of acute COVID-19 including chronic morbidity: protocol for the deep phenotyping National Pandemic Cohort Network in Germany (NAPKON-HAP)

C. von Kalle, C. Otte, S. Thun, 2023, Infection.

Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study.

L. Krist, Daniel Pape, S. Hanß, 2024, Journal of affective disorders.