A toolkit for measurement error correction, with a focus on nutritional epidemiology

A toolkit for measurement error correction, with a focus on nutritional epidemiology

Item
http://www.wikidata.org/entity/Q34844738
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

A toolkit for measurement error correction, with a focus on nutritional epidemiology

Item
http://www.wikidata.org/entity/Q34844738
description
2014 nî lūn-bûn
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2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
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
P1433
P1476
P2093
P2860
P304
P31
P356
P407
P433
P478
P577
P5875
P698
P921
P932
P356
P1433
P1476
A toolkit for measurement error correction, with a focus on nutritional epidemiology
@en
P2093
P2860
P304
P31
P356
P407
P433
P478
P577
P5875
P698
P921
P932