Future prevalence of type 2 diabetes—A comparative analysis of chronic disease projection methods

• Dina Voeltz ,

  Roles Methodology, Writing – original draft, Writing – review & editing

  * E-mail: dina.voeltz@uni-bielefeld.de

  Affiliations Biostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany, Department of Statistics, Ludwig-Maximilians-University Munich, München, Germany

  https://orcid.org/0000-0002-7579-7144

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• Thaddäus Tönnies,

  Roles Writing – review & editing

  Affiliation Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany

  https://orcid.org/0000-0003-1577-4212

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• Ralph Brinks,

  Roles Methodology, Writing – review & editing

  Affiliations Department of Statistics, Ludwig-Maximilians-University Munich, München, Germany, Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany, Chair for Medical Biometry and Epidemiology, Faculty of Health/School of Medicine, Witten/Herdecke University, Witten, Germany

  https://orcid.org/0000-0003-0961-6592

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• Annika Hoyer

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Biostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany

  https://orcid.org/0000-0002-0241-9951

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