%0 Journal Article
%A Rach, Stefan
%A Sand, Matthias
%A Reineke, Achim
%A Becher, Heiko
%A Greiser, Karin Halina
%A Wolf, Kathrin
%A Wirkner, Kerstin
%A Schmidt, Carsten Oliver
%A Schipf, Sabine
%A Jöckel, Karl-Heinz
%A Krist, Lilian
%A Ahrens, Wolfgang
%A Brenner, Hermann
%A Castell, Stefanie
%A Gastell, Sylvia
%A Harth, Volker
%A Holleczek, Bernd
%A Ittermann, Till
%A Janisch-Fabian, Stefan
%A Karch, André
%A Keil, Thomas
%A Klett-Tammen, Carolina J
%A Kluttig, Alexander
%A Kuß, Oliver
%A Leitzmann, Michael
%A Lieb, Wolfgang
%A Meinke-Franze, Claudia
%A Michels, Karin B
%A Mikolajczyk, Rafael
%A Moreno Velásquez, Ilais
%A Obi, Nadia
%A Övermöhle, Cara
%A Peters, Annette
%A Pischon, Tobias
%A Rospleszcz, Susanne
%A Schmidt, Börge
%A Schulze, Matthias B
%A Stang, Andreas
%A Teismann, Henning
%A Töpfer, Christine
%A Wolff, Robert
%A Günther, Kathrin
%T The baseline examinations of the German National Cohort (NAKO): recruitment protocol, response, and weighting.
%J European journal of epidemiology
%V 40
%N 4
%@ 0393-2990
%C [Cham]
%I Springer Nature Switzerland AG
%M DKFZ-2025-00847
%P 475-489
%D 2025
%Z 2025 Apr;40(4):475-489
%X The German National Cohort (NAKO) is the largest population-based epidemiologic cohort study in Germany and investigates the causes of the most common chronic diseases. Between 2014 and 2019, a total of 1.3 million residents aged 20-69 years from 16 German regions were randomly selected from the general population and invited to participate following a highly standardized recruitment protocol. The overall response was 15.6
%K Cohort studies (Other)
%K Correction weights (Other)
%K Epidemiology (Other)
%K Nonresponse (Other)
%K Participation (Other)
%K Population-based (Other)
%K Response (Other)
%K Sample design (Other)
%K Survey weights (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40259125
%R 10.1007/s10654-025-01219-8
%U https://inrepo02.dkfz.de/record/300633