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Modeling multi-level survival data in multi-center epidemiological cohort studies: Applications from the ELAPSE project.
Samoli, Evangelia; Rodopoulou, Sophia; Hvidtfeldt, Ulla A; Wolf, Kathrin; Stafoggia, Massimo; Brunekreef, Bert; Strak, Maciej; Chen, Jie; Andersen, Zorana J; Atkinson, Richard; Bauwelinck, Mariska; Bellander, Tom; Brandt, Jørgen; Cesaroni, Giulia; Forastiere, Francesco; Fecht, Daniela; Gulliver, John; Hertel, Ole; Hoffmann, Barbara; de Hoogh, Kees; Janssen, Nicole A H; Ketzel, Matthias; Klompmaker, Jochem O; Liu, Shuo; Ljungman, Petter; Nagel, Gabriele; Oftedal, Bente; Pershagen, Göran; Peters, Annette; Raaschou-Nielsen, Ole; Renzi, Matteo; Kristoffersen, Doris T; Severi, Gianluca; Sigsgaard, Torben; Vienneau, Danielle; Weinmayr, Gudrun; Hoek, Gerard; Katsouyanni, Klea
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Open Access
Type
Article
Language
en
Date
2021-01-12
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Title
Modeling multi-level survival data in multi-center epidemiological cohort studies: Applications from the ELAPSE project.
Translated Title
Published in
Environ Int 2021; 147:106371 advance online publication (ahead of print)
Abstract
We evaluated methods for the analysis of multi-level survival data using a pooled dataset of 14 cohorts participating in the ELAPSE project investigating associations between residential exposure to low levels of air pollution (PM2.5 and NO2) and health (natural-cause mortality and cerebrovascular, coronary and lung cancer incidence).