Mixtures of Berkson and classical covariate measurement error in the linear mixed model: Bias analysis and application to a study on ultrafine particles

DOI10.1002/BIMJ.201600188zbMath1441.62560OpenAlexW2793195038WikidataQ52658529 ScholiaQ52658529MaRDI QIDQ4563258

Helmut Küchenhoff, Veronika Deffner, Josef Cyrys, Alexandra Schneider, Susanne Breitner, Annette Peters

Publication date: 31 May 2018

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=53248

zbMATH Keywords

measurement errormixed modellongitudinal data analysisparticulate matter

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to environmental and related topics (62P12) Generalized linear models (logistic models) (62J12)

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