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Semiparametric Transformation Approach to Estimating Usual Daily Intake Distributions, A

Author

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  • Sarah M. Nusser
  • Alicia L. Carriquiry
  • Kevin W. Dodd

Abstract

The distribution of usual intakes of dietary components is important to individuals formulating food policy and to persons designing nutrition education programs. The authors suggest a methodology for estimating usual intake distributions that allows for varying degrees of departure from normality and recognizes the measurement error associated with one-day dietary intakes. The approach is applied to data from the 1985 Continuing Survey of Food Intakes by Individuals and works well for a set of dietary components that are consumed nearly daily and exhibit varying distributional shapes. Published in Journal of the American Statistical Association 91(436):1440-49, December 1996. (Replaces 92-WP 99; 95-SR 74.)

Suggested Citation

  • Sarah M. Nusser & Alicia L. Carriquiry & Kevin W. Dodd, 1995. "Semiparametric Transformation Approach to Estimating Usual Daily Intake Distributions, A," Center for Agricultural and Rural Development (CARD) Publications 95-sr74, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    • Handle: RePEc:ias:cpaper:95-sr74
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    Cited by:

    1. Maca, J. D. & Carroll, Raymond J. & Ruppert, David, 1997. "Nonparametric kernel and regression spline estimation in the presence of measurement error," SFB 373 Discussion Papers 1997,11, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    2. Carroll, Raymond J. & Freedman, Laurence & Pee, David, 1997. "Design aspects of calibration studies in nutrition, with analysis of missing data in linear measurement error models," SFB 373 Discussion Papers 1997,12, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

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