当前位置: X-MOL 学术Eur. J. Epidemiol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations
European Journal of Epidemiology ( IF 13.6 ) Pub Date : 2022-06-02 , DOI: 10.1007/s10654-022-00880-7
Oliver Kuss 1, 2 , Heiko Becher 3 , Andreas Wienke 4 , Till Ittermann 5 , Stefan Ostrzinski 5 , Sabine Schipf 5 , Carsten O Schmidt 5 , Michael Leitzmann 6 , Tobias Pischon 7 , Lilian Krist 8 , Stephanie Roll 8 , Matthias Sand 9 , Hermann Pohlabeln 10 , Stefan Rach 10 , Karl-Heinz Jöckel 11 , Andreas Stang 11 , Ulrich A Mueller 12 , Andrea Werdecker 12 , Ronny Westerman 12 , Karin H Greiser 13 , Karin B Michels 14, 15
Affiliation  

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.



中文翻译:

德国国家队列 (NAKO) 的统计分析——具体方面和一般建议

德国国家队列 (NAKO) 是一项正在进行的前瞻性多中心队列研究,该研究于 2014 年开始招募,包括超过 205,000 名 19-74 岁的女性和男性。研究数据将提供给全球研究界进行分析。尽管有关分析方法的最终决定将由各自的调查人员做出,但在本文中,我们为 NAKO 中的统计分析的统一方法提供了基础。我们讨论了研究的具体方面(例如,数据收集、考虑抽样设计的权重),但也给出了可能适用于其他大型队列研究的一般性建议。

更新日期:2022-06-02
down
wechat
bug