Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations

• DOI: 10.1007/s10654-022-00880-7
• Publication Date: 2022-06-02T12:02:41Z
• Authors: Oliver Kuss; Heiko Becher; Andreas Wienke; Till Ittermann; Stefan Ostrzinski; Sabine Schipf; Carsten O Schmidt; Michael Leitzmann; Tobias Pischon; Lilian Krist; Stephanie Roll; Matthias Sand; Hermann Pohlabeln; Stefan Rach; Karl-Heinz Jöckel; Andreas Stang; Ulrich A Mueller; Andrea Werdecker; Ronny Westerman; Karin H Greiser; Karin B Michels
• Keywords: Male; ddc:610; Medizin; 610; 01 natural sciences; Cohort Studies; Research Design; Cohort Update; Integrative Biomedicine [Topic 3]; Humans; Female; Longitudinal Studies; Prospective Studies; 0101 mathematics; Follow-Up studies ; Prospective studies ; Cohort Studies ; Biostatistics ; Data interpretation, statistical; Function and Dysfunction of the Nervous System

Abstract The German National Cohort (NAKO) is an ongoing, prospective multicenter cohort study, which started recruitment in 2014 and includes more than 205,000 women men aged 19–74 years. study data will be available to the global research community for analyses. Although ultimate decision about analytic methods made by respective investigator, this paper we provide basis a harmonized approach statistical analyses NAKO. We discuss specific aspects of (e.g., collection, weighting account sampling design), but also give general recommendations may apply other large studies as well.