A toolkit for measurement error correction, with a focus on nutritional epidemiology
about
The use of mass spectrometry for analysing metabolite biomarkers in epidemiology: methodological and statistical considerations for application to large numbers of biological samples.Discussion on 'Joint modeling of survival and longitudinal non-survival data' by Gould et al.A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation dataMissing data in FFQs: making assumptions about item non-response.Bayesian correction for covariate measurement error: A frequentist evaluation and comparison with regression calibration.The validity of self-reported behaviors: methods for estimating underreporting of risk behaviors.Comparing metabolite profiles of habitual diet in serum and urine.The use of multiple imputation method for the validation of 24-h food recalls by part-time observation of dietary intake in school.Plasma alkylresorcinols, biomarkers of whole-grain intake, are not associated with progression of coronary artery atherosclerosis in postmenopausal women with coronary artery disease.Perspective: An Extension of the STROBE Statement for Observational Studies in Nutritional Epidemiology (STROBE-nut): Explanation and Elaboration.Leveraging Methylome-Environment Interaction to Detect Genetic Determinants of Disease.A zero-augmented generalized gamma regression calibration to adjust for covariate measurement error: A case of an episodically consumed dietary intake.Systematic review of statistical approaches to quantify, or correct for, measurement error in a continuous exposure in nutritional epidemiology.Response to "Comment on 'Background Ionizing Radiation and the Risk of Childhood Cancer: A Census-Based Nationwide Cohort Study'".Alcohol consumption and cardiorespiratory fitness in five population-based studies.Random measurement error: Why worry? An example of cardiovascular risk factors.An Active Lifestyle Reinforces the Effect of a Healthy Diet on Cognitive Function: A Population-Based Longitudinal Study
P2860
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P2860
A toolkit for measurement error correction, with a focus on nutritional epidemiology
description
2014 nî lūn-bûn
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2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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name
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@ast
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@en
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@nl
type
label
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@ast
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@en
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@nl
prefLabel
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@ast
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@en
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@nl
P2860
P356
P1476
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@en
P2093
Ian R White
Ruth H Keogh
P2860
P304
P356
10.1002/SIM.6095
P407
P577
2014-02-04T00:00:00Z