Filters: Author is Freedman, Laurence S [Clear All Filters]
Using regression calibration equations that combine self-reported intake and biomarker measures to obtain unbiased estimates and more powerful tests of dietary associations.. American journal of epidemiology. 174(11):1238-45.. 2011.
Application of a New Statistical Model for Measurement Error to the Evaluation of Dietary Self-report Instruments.. Epidemiology (Cambridge, Mass.).. 2015.
Pooled Results From 5 Validation Studies of Dietary Self-Report Instruments Using Recovery Biomarkers for Energy and Protein Intake.. American journal of epidemiology. 180(2):172-88.. 2014.
Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake.. American journal of epidemiology. 181(7):473-87.. 2015.
Gains in statistical power from using a dietary biomarker in combination with self-reported intake to strengthen the analysis of a diet-disease association: an example from CAREDS.. American journal of epidemiology. 172(7):836-42.. 2010.
Reply to E Archer and SN Blair.. Advances in nutrition (Bethesda, Md.). 6(4):489.. 2015.
Addressing Current Criticism Regarding the Value of Self-Report Dietary Data.. The Journal of nutrition. 145(12):2639-45.. 2015.
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