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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.
Affiliation
  • Kuss O; Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany. oliver.kuss@ddz.de.
  • Becher H; Centre for Health and Society, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany. oliver.kuss@ddz.de.
  • Wienke A; Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Ittermann T; Institute of Medical Epidemiology, Biometrics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
  • Ostrzinski S; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
  • Schipf S; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
  • Schmidt CO; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
  • Leitzmann M; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
  • Pischon T; Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany.
  • Krist L; Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
  • Roll S; Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
  • Sand M; Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
  • Pohlabeln H; GESIS - Leibniz-Institute for Social Sciences, Mannheim, Germany.
  • Rach S; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
  • Jöckel KH; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
  • Stang A; Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Essen, Germany.
  • Mueller UA; Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Essen, Germany.
  • Werdecker A; Federal Institute for Population Research, Wiesbaden, Germany.
  • Westerman R; Federal Institute for Population Research, Wiesbaden, Germany.
  • Greiser KH; Federal Institute for Population Research, Wiesbaden, Germany.
  • Michels KB; Division of Cancer Epidemiology, DKFZ Heidelberg, Heidelberg, Germany.
Eur J Epidemiol ; 37(4): 429-436, 2022 Apr.
Article in En | MEDLINE | ID: mdl-35653006
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design Type of study: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Eur J Epidemiol Journal subject: EPIDEMIOLOGIA Year: 2022 Type: Article Affiliation country: Germany
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design Type of study: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Eur J Epidemiol Journal subject: EPIDEMIOLOGIA Year: 2022 Type: Article Affiliation country: Germany