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Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations
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...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187540/ https://www.ncbi.nlm.nih.gov/pubmed/35653006 http://dx.doi.org/10.1007/s10654-022-00880-7 |
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| author | Kuss, Oliver Becher, Heiko Wienke, Andreas Ittermann, Till Ostrzinski, Stefan Schipf, Sabine Schmidt, Carsten O 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 H Michels, Karin B |
| author_facet | Kuss, Oliver Becher, Heiko Wienke, Andreas Ittermann, Till Ostrzinski, Stefan Schipf, Sabine Schmidt, Carsten O 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 H Michels, Karin B |
| author_sort | Kuss, Oliver |
| collection | PubMed |
| description | 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. |
| format | Online Article Text |
| id | pubmed-9187540 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Springer Netherlands |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-91875402022-06-12 Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations Kuss, Oliver Becher, Heiko Wienke, Andreas Ittermann, Till Ostrzinski, Stefan Schipf, Sabine Schmidt, Carsten O 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 H Michels, Karin B Eur J Epidemiol Cohort Update 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. Springer Netherlands 2022-06-02 2022 /pmc/articles/PMC9187540/ /pubmed/35653006 http://dx.doi.org/10.1007/s10654-022-00880-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Cohort Update Kuss, Oliver Becher, Heiko Wienke, Andreas Ittermann, Till Ostrzinski, Stefan Schipf, Sabine Schmidt, Carsten O 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 H Michels, Karin B Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations |
| title | Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations |
| title_full | Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations |
| title_fullStr | Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations |
| title_full_unstemmed | Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations |
| title_short | Statistical Analysis in the German National Cohort (NAKO) – Specific Aspects and General Recommendations |
| title_sort | statistical analysis in the german national cohort (nako) – specific aspects and general recommendations |
| topic | Cohort Update |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187540/ https://www.ncbi.nlm.nih.gov/pubmed/35653006 http://dx.doi.org/10.1007/s10654-022-00880-7 |
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