Using enhanced regression calibration to combine dietary intake estimates from 24 h recall and FFQ reduces bias in diet–disease associations
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Title
Using enhanced regression calibration to combine dietary intake estimates from 24 h recall and FFQ reduces bias in diet–disease associations
Authors
Keywords
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Journal
PUBLIC HEALTH NUTRITION
Volume -, Issue -, Pages 1-9
Publisher
Cambridge University Press (CUP)
Online
2019-07-02
DOI
10.1017/s1368980019001563
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Related references
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- Pooled Results From 5 Validation Studies of Dietary Self-Report Instruments Using Recovery Biomarkers for Potassium and Sodium Intake
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- The Automated Self-Administered 24-Hour Dietary Recall (ASA24): A Resource for Researchers, Clinicians, and Educators from the National Cancer Institute
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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
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- Self-reported energy intake by FFQ compared with actual energy intake to maintain body weight in 516 adults
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- A Population's Distribution of Healthy Eating Index-2005 Component Scores Can Be Estimated When More Than One 24-Hour Recall Is Available
- (2010) Laurence S. Freedman et al. JOURNAL OF NUTRITION
- Modeling Data with Excess Zeros and Measurement Error: Application to Evaluating Relationships between Episodically Consumed Foods and Health Outcomes
- (2009) Victor Kipnis et al. BIOMETRICS
- The Population Distribution of Ratios of Usual Intakes of Dietary Components That Are Consumed Every Day Can Be Estimated from Repeated 24-Hour Recalls
- (2009) Laurence S. Freedman et al. JOURNAL OF NUTRITION
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