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Intemann-et-al_2019_SIMEX for correction of dietary exposure effects with Box‐Cox transformed data.pdf 510,73KB
WeightNameValue
1000 Titel
  • SIMEX for correction of dietary exposure effects with Box‐Cox transformed data
1000 Autor/in
  1. Intemann, Timm |
  2. Mehlig, Kirsten |
  3. De Henauw, Stefaan |
  4. Siani, Alfonso |
  5. Contstantinou, Tassos |
  6. Moreno, Luis A. |
  7. Molnar, Dénes |
  8. Veidebaum, Toomas |
  9. Pigeot, Iris |
1000 Mitwirkende/r
  1. The I.Family consortium |
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-11-08
1000 Erschienen in
1000 Quellenangabe
  • 62(1):221-237
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/bimj.201900066 |
1000 Ergänzendes Material
  • https://onlinelibrary.wiley.com/doi/full/10.1002/bimj.201900066#support-information-section |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Modelling dietary data, and especially 24‐hr dietary recall (24HDR) data, is a challenge. Ignoring the inherent measurement error (ME) leads to biased effect estimates when the association between an exposure and an outcome is investigated. We propose an adapted simulation extrapolation (SIMEX) algorithm for modelling dietary exposures. For this purpose, we exploit the ME model of the NCI method where we assume the assumption of normally distributed errors of the reported intake on the Box‐Cox transformed scale and of unbiased recalls on the original scale. According to the SIMEX algorithm, remeasurements of the observed data with additional ME are generated in order to estimate the association between the level of ME and the resulting effect estimate. Subsequently, this association is extrapolated to the case of zero ME to obtain the corrected estimate. We show that the proposed method fulfils the key property of the SIMEX approach, that is, that the MSE of the generated data will converge to zero if the ME variance converges to zero. Furthermore, the method is applied to real 24HDR data of the I.Family study to correct the effects of salt and alcohol intake on blood pressure. In a simulation study, the method is compared with the NCI method resulting in effect estimates with either smaller MSE or smaller bias in certain situations. In addition, we found our method to be more informative and easier to implement. Therefore, we conclude that the proposed method is useful to promote the dissemination of ME correction methods in nutritional epidemiology.
1000 Sacherschließung
lokal 24‐hr dietary recall
lokal Measurement error correction method
lokal Salt intake
lokal Non‐linear mixed model
lokal NCI method
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-7836-3643|https://frl.publisso.de/adhoc/uri/TWVobGlnLCBLaXJzdGVu|https://frl.publisso.de/adhoc/uri/RGUgSGVuYXV3LCBTdGVmYWFu|https://frl.publisso.de/adhoc/uri/U2lhbmksIEFsZm9uc28=|https://frl.publisso.de/adhoc/uri/Q29udHN0YW50aW5vdSwgVGFzc29z|https://frl.publisso.de/adhoc/uri/TW9yZW5vLCBMdWlzIEEu|https://frl.publisso.de/adhoc/uri/TW9sbmFyLCBEw6luZXM=|https://frl.publisso.de/adhoc/uri/VmVpZGViYXVtLCBUb29tYXM=|https://orcid.org/0000-0001-7483-0726|https://frl.publisso.de/adhoc/uri/VGhlIEkuRmFtaWx5IGNvbnNvcnRpdW0=
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Seventh Framework Programme |
1000 Fördernummer
  1. 391977161
  2. 266044
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
  1. SIMEX for correction of dietary exposure effects with Box‐Cox transformed data
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer 391977161
  2. 1000 joinedFunding-child
    1000 Förderer Seventh Framework Programme |
    1000 Förderprogramm -
    1000 Fördernummer 266044
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6418768.rdf
1000 Erstellt am 2020-01-29T15:44:44.317+0100
1000 Erstellt von 266
1000 beschreibt frl:6418768
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Fri Feb 26 08:52:50 CET 2021
1000 Objekt bearb. Fri Feb 26 08:52:49 CET 2021
1000 Vgl. frl:6418768
1000 Oai Id
  1. oai:frl.publisso.de:frl:6418768 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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