Linear Measurement Error Models with Restricted Sampling

• Published in: Biometrics Vol. 63; no. 1; pp. 137 - 142
• Main Authors: Gorfine, Malka, Lipshtat, Nurit, Freedman, Laurence S, Prentice, Ross L
• Format: Journal Article
• Language: English
• Published: Malden, USA Blackwell Publishing Inc 01.03.2007; International Biometric Society; Blackwell Publishing Ltd
• Subjects: Analytical estimating; Biometrics; biometry; Chronic Disease; chronic diseases; Diet; Diet Records; energy intake; epidemiological studies; Epidemiology; Error rates; Estimation bias; Estimation methods; Feeding Behavior; food frequency questionnaires; food intake; food records; Humans; linear models; Measurement error; Missing data; Modeling; Models, Statistical; Monte Carlo Method; Multiple imputation for longitudinal data; Nutrient intake; nutrients; Nutritional epidemiology; nutritional intervention; Regression analysis; Research methodology; Restricted sample; risk; Sample Size; Sampling bias; Statistical analysis; Statistical discrepancies; Surveys and Questionnaires

The relationship between nutrient consumption and chronic disease risk is the focus of a large number of epidemiological studies where food frequency questionnaires (FFQ) and food records are commonly used to assess dietary intake. However, these self-assessment tools are known to involve substantia...