论文信息 - Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data

Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data

The authors have developed a method for estimating the distribution of an unobservable random variable from data that are subject to considerable measurement error and that arise from a mixture of two populations, one having a single-valued distribution and the other having a continuous unimodal distribution. The method requires that at least two positive intakes be recorded for a subset of the subjects in order to estimate the variance components for the measurement error model. Published in Survey Measurement and Process Quality, ed. by Lyberg et al.. John Wiley & Sons. Chapter 30:689-709, 1997. (Replaces 95-SR 80.)

[1] N. E. Johnson,et al. Effects of intraindividual and interindividual variation in repeated dietary records. , 1985, American journal of epidemiology.

[2] Estimation of the true distribution of vitamin A intake by the unmixing algorithm , 1991 .

[3] E. Jaynes. Information Theory and Statistical Mechanics , 1957 .

[4] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.

[5] A. Carriquiry,et al. A Semiparametric Transformation Approach to Estimating Usual Daily Intake Distributions , 1996 .

[6] D. Hegsted. Problems in the use and interpretation of the recommended dietary allowances , 1972 .

[7] P. Corey,et al. Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. , 1979, The American journal of clinical nutrition.

[8] E. Vonesh,et al. An Empirical Nonlinear Data-Fitting Approach for Transforming Data to Normality , 1989 .

[9] D. Hegsted. The classic approach--the USDA nationwide food consumption survey. , 1982, American Journal of Clinical Nutrition.