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Using Regression Calibration Equations That Combine Self-Reported Intake and Biomarker Measures to Obtain Unbiased Estimates and More Powerful Tests of Dietary Associations.
- Source :
-
American Journal of Epidemiology . Dec2011, Vol. 174 Issue 11, p1238-1245. 8p. - Publication Year :
- 2011
-
Abstract
- The authors describe a statistical method of combining self-reports and biomarkers that, with adequate control for confounding, will provide nearly unbiased estimates of diet-disease associations and a valid test of the null hypothesis of no association. The method is based on regression calibration. In cases in which the diet-disease association is mediated by the biomarker, the association needs to be estimated as the total dietary effect in a mediation model. However, the hypothesis of no association is best tested through a marginal model that includes as the exposure the regression calibration-estimated intake but not the biomarker. The authors illustrate the method with data from the Carotenoids and Age-Related Eye Disease Study (2001--2004) and show that inclusion of the biomarker in the regression calibration-estimated intake increases the statistical power. This development sheds light on previous analyses of diet-disease associations reported in the literature. [ABSTRACT FROM PUBLISHER]
- Subjects :
- *STATISTICS methodology
*EPIDEMIOLOGY research methodology
*HYPOTHESIS
*BIOMARKERS
*CALIBRATION
*CAROTENOIDS
*DISEASES
*EPIDEMIOLOGY
*INGESTION
*LONGITUDINAL method
*MATHEMATICAL models
*POWER (Social sciences)
*REGRESSION analysis
*RESEARCH funding
*SELF-evaluation
*STATISTICS
*MATHEMATICAL variables
*VISION disorders in old age
*DATA analysis
*SECONDARY analysis
*RELATIVE medical risk
*RESEARCH bias
Subjects
Details
- Language :
- English
- ISSN :
- 00029262
- Volume :
- 174
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- American Journal of Epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 67627119
- Full Text :
- https://doi.org/10.1093/aje/kwr248