| Literature DB >> 35653006 |
Oliver Kuss1,2, Heiko Becher3, Andreas Wienke4, Till Ittermann5, Stefan Ostrzinski5, Sabine Schipf5, Carsten O Schmidt5, Michael Leitzmann6, Tobias Pischon7, Lilian Krist8, Stephanie Roll8, Matthias Sand9, Hermann Pohlabeln10, Stefan Rach10, Karl-Heinz Jöckel11, Andreas Stang11, Ulrich A Mueller12, Andrea Werdecker12, Ronny Westerman12, Karin H Greiser13, Karin B Michels14,15.
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 and men aged 19-74 years. The study data will be available to the global research community for analyses. Although the ultimate decision about the analytic methods will be made by the respective investigator, in this paper we provide the basis for a harmonized approach to the statistical analyses in the NAKO. We discuss specific aspects of the study (e.g., data collection, weighting to account for the sampling design), but also give general recommendations which may apply to other large cohort studies as well.Entities:
Keywords: Biostatistics; Cohort Studies; Data interpretation, statistical; Follow-Up studies; Prospective studies
Mesh：
Year: 2022 PMID： 35653006 PMCID： PMC9187540 DOI： 10.1007/s10654-022-00880-7
Source DB: PubMed Journal: Eur J Epidemiol ISSN： 0393-2990 Impact factor: 12.434