Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data
Sarah M. Nusser, Wayne A. Fuller, Patricia M. Guenther
December 1995 [95-SR 80]
Suggested citation:
Nusser, S.M., W. Fuller, and P. Guenther. 1995. "Estimating Usual Dietary Intake Distributions: Adjusting for Measurement Error and Nonnormality in 24-Hour Food Intake Data." Staff report 95-SR 80. Center for Agricultural and Rural Development, Iowa State University.
Abstract
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.)