Pages that link to "Q52382932"
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The following pages link to Estimating the accuracy of dietary questionnaire assessments: validation in terms of structural equation models. (Q52382932):
Displayed 27 items.
- European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection (Q30777450) (← links)
- Sensitivity of regression calibration to non-perfect validation data with application to the Norwegian Women and Cancer Study (Q30886402) (← links)
- The impact of imprecisely measured covariates on estimating gene-environment interactions (Q33242283) (← links)
- Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies? (Q33738935) (← links)
- Validation and calibration of food-frequency questionnaire measurements in the Northern Sweden Health and Disease cohort (Q34127864) (← links)
- Measurement error of dietary self-report in intervention trials (Q34514332) (← links)
- Measurement error correction for nutritional exposures with correlated measurement error: use of the method of triads in a longitudinal setting (Q34573318) (← links)
- Uses and limitations of statistical accounting for random error correlations, in the validation of dietary questionnaire assessments (Q35085719) (← links)
- Food security in South Africa: a review of national surveys (Q35679671) (← links)
- Structured measurement error in nutritional epidemiology: applications in the Pregnancy, Infection, and Nutrition (PIN) Study (Q36737825) (← links)
- Methods to Assess Measurement Error in Questionnaires of Sedentary Behavior (Q37025170) (← links)
- Using surrogate biomarkers to improve measurement error models in nutritional epidemiology (Q37298470) (← links)
- A Bayesian multilevel model for estimating the diet/disease relationship in a multicenter study with exposures measured with error: the EPIC study (Q37328949) (← links)
- Dietary patterns: a novel approach to examine the link between nutrition and cognitive function in older individuals (Q38032965) (← links)
- Development and calibration of a dietary nitrate and nitrite database in the NIH-AARP Diet and Health Study (Q38655590) (← links)
- Validity of Self-Assessed Sexual Maturation Against Physician Assessments and Hormone Levels. (Q38822327) (← links)
- Invited commentary: dietary pattern analysis (Q39762784) (← links)
- Systematic review of statistical approaches to quantify, or correct for, measurement error in a continuous exposure in nutritional epidemiology (Q41711983) (← links)
- Methodological aspects of physical activity assessment in epidemiological studies (Q41727980) (← links)
- Urinary excretion of dithiocarbamates and self-reported Cruciferous vegetable intake: application of the 'method of triads' to a food-specific biomarker (Q44304745) (← links)
- Plasma carotenoids as biomarkers of intake of fruits and vegetables: individual-level correlations in the European Prospective Investigation into Cancer and Nutrition (EPIC). (Q46701569) (← links)
- Development of databases for use in validation studies of probabilistic models of dietary exposure to food chemicals and nutrients. (Q47447086) (← links)
- The evaluation of the diet/disease relation in the EPIC study: considerations for the calibration and the disease models (Q47723089) (← links)
- Comparison of duplicate portion and 24 h recall as reference methods for validating a FFQ using urinary markers as the estimate of true intake (Q48745244) (← links)
- Empirical evidence of correlated biases in dietary assessment instruments and its implications. (Q52928574) (← links)
- Validation and sensitivity analysis of probabilistic models of dietary exposure to micronutrients: an example based on vitamin B6 (Q79157222) (← links)
- Validating fatty acid intake as estimated by an FFQ: how does the 24 h recall perform as reference method compared with the duplicate portion? (Q88593580) (← links)