000180200 001__ 180200
000180200 005__ 20240229145610.0
000180200 0247_ $$2doi$$a10.1007/s10654-022-00880-7
000180200 0247_ $$2pmid$$apmid:35653006
000180200 0247_ $$2ISSN$$a0393-2990
000180200 0247_ $$2ISSN$$a1573-7284
000180200 0247_ $$2altmetric$$aaltmetric:129206157
000180200 037__ $$aDKFZ-2022-01169
000180200 041__ $$aEnglish
000180200 082__ $$a610
000180200 1001_ $$00000-0003-3301-5869$$aKuss, Oliver$$b0
000180200 245__ $$aStatistical Analysis in the German National Cohort (NAKO) - Specific Aspects and General Recommendations.
000180200 260__ $$aDordrecht [u.a.]$$bSpringer Science + Business Media B.V.$$c2022
000180200 3367_ $$2DRIVER$$aarticle
000180200 3367_ $$2DataCite$$aOutput Types/Journal article
000180200 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1656927288_30920
000180200 3367_ $$2BibTeX$$aARTICLE
000180200 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000180200 3367_ $$00$$2EndNote$$aJournal Article
000180200 500__ $$a2022 Apr;37(4):429-436
000180200 520__ $$aThe German National Cohort (NAKO) is an ongoing, prospective multicenter cohort study, which started recruitment in 2014 and includes more than 205,000 women and men aged 19-74 years. The study data will be available to the global research community for analyses. Although the ultimate decision about the analytic methods will be made by the respective investigator, in this paper we provide the basis for a harmonized approach to the statistical analyses in the NAKO. We discuss specific aspects of the study (e.g., data collection, weighting to account for the sampling design), but also give general recommendations which may apply to other large cohort studies as well.
000180200 536__ $$0G:(DE-HGF)POF4-313$$a313 - Krebsrisikofaktoren und Prävention (POF4-313)$$cPOF4-313$$fPOF IV$$x0
000180200 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
000180200 650_7 $$2Other$$aBiostatistics
000180200 650_7 $$2Other$$aCohort Studies
000180200 650_7 $$2Other$$aData interpretation, statistical
000180200 650_7 $$2Other$$aFollow-Up studies
000180200 650_7 $$2Other$$aProspective studies
000180200 7001_ $$aBecher, Heiko$$b1
000180200 7001_ $$aWienke, Andreas$$b2
000180200 7001_ $$aIttermann, Till$$b3
000180200 7001_ $$aOstrzinski, Stefan$$b4
000180200 7001_ $$aSchipf, Sabine$$b5
000180200 7001_ $$aSchmidt, Carsten O$$b6
000180200 7001_ $$aLeitzmann, Michael$$b7
000180200 7001_ $$aPischon, Tobias$$b8
000180200 7001_ $$aKrist, Lilian$$b9
000180200 7001_ $$aRoll, Stephanie$$b10
000180200 7001_ $$aSand, Matthias$$b11
000180200 7001_ $$aPohlabeln, Hermann$$b12
000180200 7001_ $$aRach, Stefan$$b13
000180200 7001_ $$aJöckel, Karl-Heinz$$b14
000180200 7001_ $$aStang, Andreas$$b15
000180200 7001_ $$aMueller, Ulrich A$$b16
000180200 7001_ $$aWerdecker, Andrea$$b17
000180200 7001_ $$aWesterman, Ronny$$b18
000180200 7001_ $$0P:(DE-He78)e0ac0d57cdb66d87f2d95ae5f6178c1b$$aGreiser, Karin H$$b19$$udkfz
000180200 7001_ $$aMichels, Karin B$$b20
000180200 773__ $$0PERI:(DE-600)2004992-4$$a10.1007/s10654-022-00880-7$$n4$$p429-436$$tEuropean journal of epidemiology$$v37$$x0393-2990$$y2022
000180200 909CO $$ooai:inrepo02.dkfz.de:180200$$pVDB
000180200 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)e0ac0d57cdb66d87f2d95ae5f6178c1b$$aDeutsches Krebsforschungszentrum$$b19$$kDKFZ
000180200 9131_ $$0G:(DE-HGF)POF4-313$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vKrebsrisikofaktoren und Prävention$$x0
000180200 9141_ $$y2022
000180200 915__ $$0StatID:(DE-HGF)3002$$2StatID$$aDEAL Springer$$d2021-01-28$$wger
000180200 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-28
000180200 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2021-01-28
000180200 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-28
000180200 915__ $$0StatID:(DE-HGF)0430$$2StatID$$aNational-Konsortium$$d2022-11-17$$wger
000180200 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-17
000180200 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-17
000180200 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-17
000180200 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-17
000180200 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2022-11-17
000180200 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2022-11-17
000180200 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2022-11-17
000180200 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bEUR J EPIDEMIOL : 2021$$d2022-11-17
000180200 915__ $$0StatID:(DE-HGF)9910$$2StatID$$aIF >= 10$$bEUR J EPIDEMIOL : 2021$$d2022-11-17
000180200 9201_ $$0I:(DE-He78)C020-20160331$$kC020$$lC020 Epidemiologie von Krebs$$x0
000180200 980__ $$ajournal
000180200 980__ $$aVDB
000180200 980__ $$aI:(DE-He78)C020-20160331
000180200 980__ $$aUNRESTRICTED