umu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Use of Two-Part Regression Calibration Model to Correct for Measurement Error in Episodically Consumed Foods in a Single-Replicate Study Design: EPIC Case Study
Visa övriga samt affilieringar
2014 (Engelska)Ingår i: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 9, nr 11, s. e113160-Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

In epidemiologic studies, measurement error in dietary variables often attenuates association between dietary intake and disease occurrence. To adjust for the attenuation caused by error in dietary intake, regression calibration is commonly used. To apply regression calibration, unbiased reference measurements are required. Short-term reference measurements for foods that are not consumed daily contain excess zeroes that pose challenges in the calibration model. We adapted twopart regression calibration model, initially developed for multiple replicates of reference measurements per individual to a single-replicate setting. We showed how to handle excess zero reference measurements by two-step modeling approach, how to explore heteroscedasticity in the consumed amount with variance-mean graph, how to explore nonlinearity with the generalized additive modeling (GAM) and the empirical logit approaches, and how to select covariates in the calibration model. The performance of two-part calibration model was compared with the one-part counterpart. We used vegetable intake and mortality data from European Prospective Investigation on Cancer and Nutrition (EPIC) study. In the EPIC, reference measurements were taken with 24-hour recalls. For each of the three vegetable subgroups assessed separately, correcting for error with an appropriately specified two-part calibration model resulted in about three fold increase in the strength of association with all-cause mortality, as measured by the log hazard ratio. Further found is that the standard way of including covariates in the calibration model can lead to over fitting the two-part calibration model. Moreover, the extent of adjusting for error is influenced by the number and forms of covariates in the calibration model. For episodically consumed foods, we advise researchers to pay special attention to response distribution, nonlinearity, and covariate inclusion in specifying the calibration model.

Ort, förlag, år, upplaga, sidor
2014. Vol. 9, nr 11, s. e113160-
Nationell ämneskategori
Medicin och hälsovetenskap
Identifikatorer
URN: urn:nbn:se:umu:diva-98569DOI: 10.1371/journal.pone.0113160ISI: 000345158700122PubMedID: 25402487OAI: oai:DiVA.org:umu-98569DiVA, id: diva2:783838
Tillgänglig från: 2015-01-27 Skapad: 2015-01-23 Senast uppdaterad: 2018-06-07Bibliografiskt granskad

Open Access i DiVA

fulltext(498 kB)170 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 498 kBChecksumma SHA-512
eb980c023cbd7e5a018aac96adb7e042c3511486413f6e3591f1b5e155a8164beedac4ddfd9614b4de24d1fd0cc2a88d324958544d817ac0ee9ca31aab32d355
Typ fulltextMimetyp application/pdf

Övriga länkar

Förlagets fulltextPubMed

Personposter BETA

Johansson, Ingegerd

Sök vidare i DiVA

Av författaren/redaktören
Johansson, Ingegerd
Av organisationen
Institutionen för odontologi
I samma tidskrift
PLoS ONE
Medicin och hälsovetenskap

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 170 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

doi
pubmed
urn-nbn

Altmetricpoäng

doi
pubmed
urn-nbn
Totalt: 439 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf