TY  - JOUR
AU  - Kuss, Oliver
AU  - Becher, Heiko
AU  - Wienke, Andreas
AU  - Ittermann, Till
AU  - Ostrzinski, Stefan
AU  - Schipf, Sabine
AU  - Schmidt, Carsten O
AU  - Leitzmann, Michael
AU  - Pischon, Tobias
AU  - Krist, Lilian
AU  - Roll, Stephanie
AU  - Sand, Matthias
AU  - Pohlabeln, Hermann
AU  - Rach, Stefan
AU  - Jöckel, Karl-Heinz
AU  - Stang, Andreas
AU  - Mueller, Ulrich A
AU  - Werdecker, Andrea
AU  - Westerman, Ronny
AU  - Greiser, Karin H
AU  - Michels, Karin B
TI  - Statistical Analysis in the German National Cohort (NAKO) - Specific Aspects and General Recommendations.
JO  - European journal of epidemiology
VL  - 37
IS  - 4
SN  - 0393-2990
CY  - Dordrecht [u.a.]
PB  - Springer Science + Business Media B.V.
M1  - DKFZ-2022-01169
SP  - 429-436
PY  - 2022
N1  - 2022 Apr;37(4):429-436
AB  - 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.
KW  - Biostatistics (Other)
KW  - Cohort Studies (Other)
KW  - Data interpretation, statistical (Other)
KW  - Follow-Up studies (Other)
KW  - Prospective studies (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:35653006
DO  - DOI:10.1007/s10654-022-00880-7
UR  - https://inrepo02.dkfz.de/record/180200
ER  -