Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/117064
Title: | Statistical analysis in the German National Cohort (NAKO) : specific aspects and general recommendations |
Author(s): | Kuß, Oliver Becher, Heiko Wienke, Andreas Ittermann, Till Ostrzinski, Stefan Schipf, Sabine Schmidt-Rimpler, Carsten Onno Simon Leitzmann, Michael Pischon, Tobias Krist, Lilian Roll, Stephanie Sand, Matthias Pohlabeln, Hermann Rach, Stefan Jöckel, Karl-Heinz Stang, Andreas Mueller, Ulrich A Werdecker, Andrea Westerman, Ronny Greiser, Karin Halina Michels, Karin |
Issue Date: | 2022 |
Type: | Article |
Language: | English |
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. |
URI: | https://opendata.uni-halle.de//handle/1981185920/119024 http://dx.doi.org/10.25673/117064 |
Open Access: | Open access publication |
License: | (CC BY 4.0) Creative Commons Attribution 4.0 |
Journal Title: | European journal of epidemiology |
Publisher: | Springer Nature Switzerland AG |
Publisher Place: | [Cham] |
Volume: | 37 |
Original Publication: | 10.1007/s10654-022-00880-7 |
Page Start: | 429 |
Page End: | 436 |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
File | Description | Size | Format | |
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s10654-022-00880-7.pdf | 670.04 kB | Adobe PDF | View/Open |