%0 Journal Article
%A Jaeschke, Lina
%A Becher, Matthias
%A Velásquez, Ilais Moreno
%A Ahrens, Wolfgang
%A Bächle, Christina
%A Baurecht, Hansjörg
%A Fricke, Julia
%A Greiser, Karin Halina
%A Günther, Kathrin
%A Heier, Margit
%A Karch, André
%A Kluttig, Alexander
%A Krist, Lilian
%A Leitzmann, Michael
%A Michels, Karin
%A Mikolajczyk, Rafael
%A Peters, Annette
%A Schipf, Sabine
%A Völzke, Henry
%A Pischon, Tobias
%A Becher, Heiko
%T The bias from heaping on risk estimation: Effect of age at diagnosis of hypertension on risk of subsequent cardiovascular comorbidities.
%J Annals of epidemiology
%V 74
%@ 1047-2797
%C Amsterdam [u.a.]
%I Elsevier Science
%M DKFZ-2022-01765
%P 84-96
%D 2022
%Z 2022 Aug 5;74:84-96
%X To investigate (1) the bias in effect estimation due to heaping, (2) the association between age at hypertension diagnosis and risk of cardiovascular comorbidities, and (3) the influence of heaping on risk estimates.We performed a simulation study with various scenarios, binary outcome, and normal or lognormal distributed covariables. We calculated mean logistic coefficients under the original and heaped data and their relative deviation. The association of age at hypertension diagnosis and risk of ≥1 cardiovascular comorbidity was investigated using logistic regression among 50,858 participants in the NAKO Gesundheitsstudie (German National Cohort) who reported such diagnosis. We assessed the proportion of heaped observations and to what extent heaping may have influenced risk estimates.Based on the simulation study and assuming 50
%K cardiovascular comorbidities (Other)
%K digit preference (Other)
%K effect estimates (Other)
%K epidemiologic study (Other)
%K heaping (Other)
%K hypertension (Other)
%K simulation study (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:35940393
%R 10.1016/j.annepidem.2022.07.012
%U https://inrepo02.dkfz.de/record/181081