IDEAS home Printed from https://ideas.repec.org/p/mpr/mprres/6c99580fa94443459f3cbd00578ced06.html
   My bibliography  Save this paper

Measurement Error Properties in an Accelerometer Sample of U.S. Elementary School Children

Author

Listed:
  • Nicholas Beyler
  • Susanne James-Burdumy
  • Martha Bleeker
  • Jane Fortson
  • Max Benjamin

Abstract

Measurement error modeling approaches have been used extensively in nutrition studies to estimate distributions of usual dietary intakes by accounting for and adjusting for day-to-day variability and measurement errors in observed intakes.

Suggested Citation

  • Nicholas Beyler & Susanne James-Burdumy & Martha Bleeker & Jane Fortson & Max Benjamin, "undated". "Measurement Error Properties in an Accelerometer Sample of U.S. Elementary School Children," Mathematica Policy Research Reports 6c99580fa94443459f3cbd005, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:6c99580fa94443459f3cbd00578ced06
    as

    Download full text from publisher

    File URL: https://www.mathematica.org/-/media/publications/pdfs/beyler_proceedings_jsm2013.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:mpr:mprres:7480 is not listed on IDEAS
    2. Sarah M. Nusser & Nicholas K. Beyler & Gregory J. Welk & Alicia L. Carriquiry & Wayne A. Fuller & Benjamin M.N. King, "undated". "Modeling Errors in Physical Activity Recall Data," Mathematica Policy Research Reports 2175fbd459854845bb84e061a, Mathematica Policy Research.
    3. Victor Kipnis & Douglas Midthune & Dennis W. Buckman & Kevin W. Dodd & Patricia M. Guenther & Susan M. Krebs-Smith & Amy F. Subar & Janet A. Tooze & Raymond J. Carroll & Laurence S. Freedman, 2009. "Modeling Data with Excess Zeros and Measurement Error: Application to Evaluating Relationships between Episodically Consumed Foods and Health Outcomes," Biometrics, The International Biometric Society, vol. 65(4), pages 1003-1010, December.
    4. Carriquiry, Alicia L. & Fuller, Wayne A., 1996. "A Semiparametric Approach to Estimating Usual Intake Distributions," Staff General Research Papers Archive 1036, Iowa State University, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:mpr:mprres:7903 is not listed on IDEAS
    2. Anne Gordon & Mary Kay Fox & Melissa Clark & Renée Nogales & Elizabeth Condon & Philip Gleason & Ankur Sarin, 2007. "School Nutrition Dietary Assessment Study III, Volume II: Student Participation and Dietary Intakes," Mathematica Policy Research Reports 5184c5f5137c460992242c5f7, Mathematica Policy Research.
    3. Woodcock, Simon D. & Benedetto, Gary, 2009. "Distribution-preserving statistical disclosure limitation," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4228-4242, October.
    4. Hilko Van Der Voet & Wout Slob, 2007. "Integration of Probabilistic Exposure Assessment and Probabilistic Hazard Characterization," Risk Analysis, John Wiley & Sons, vol. 27(2), pages 351-371, April.
    5. Staudenmayer, John & Ruppert, David & Buonaccorsi, John P., 2008. "Density Estimation in the Presence of Heteroscedastic Measurement Error," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 726-736, June.
    6. Barbara L. Devaney & Elizabeth A. Stuart, 1998. "Eating Breakfast: Effects of the School Breakfast Program," Mathematica Policy Research Reports d6ccf0f21e6b4d8a8e9cfa650, Mathematica Policy Research.
    7. Elizabeth Condon & Susan Drilea & Carolyn Lichtenstein & James Mabli & Emily Madden & Katherine Niland, "undated". "Diet Quality of American School Children by National School Lunch Program Participation Status: Data from the National Health and Nutrition Examination Survey, 2005-2010," Mathematica Policy Research Reports 36c1ee6e851445d5957fb99ac, Mathematica Policy Research.
    8. repec:mpr:mprres:5595 is not listed on IDEAS
    9. Daniel R. Kowal & Bohan Wu, 2023. "Semiparametric count data regression for self‐reported mental health," Biometrics, The International Biometric Society, vol. 79(2), pages 1520-1533, June.
    10. Helen L. Jacobs & Henry D. Kahn & Kathleen A. Stralka & Dung B. Phan, 1998. "Estimates of per Capita Fish Consumption in the U.S. Based on the Continuing Survey of Food Intake by Individuals (CSFII)," Risk Analysis, John Wiley & Sons, vol. 18(3), pages 283-291, June.
    11. Harris-Fry, Helen & Saville, Naomi M. & Paudel, Puskar & Manandhar, Dharma S. & Cortina-Borja, Mario & Skordis, Jolene, 2022. "Relative power: Explaining the effects of food and cash transfers on allocative behaviour in rural Nepalese households," Journal of Development Economics, Elsevier, vol. 154(C).
    12. Grace Y. Yi & Yanyuan Ma & Donna Spiegelman & Raymond J. Carroll, 2015. "Functional and Structural Methods With Mixed Measurement Error and Misclassification in Covariates," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(510), pages 681-696, June.
    13. Wang, Xiao-Feng & Fan, Zhaozhi & Wang, Bin, 2010. "Estimating smooth distribution function in the presence of heteroscedastic measurement errors," Computational Statistics & Data Analysis, Elsevier, vol. 54(1), pages 25-36, January.
    14. repec:jss:jstsof:46:c03 is not listed on IDEAS
    15. Barbara Devaney & Myoung Kim & Alicia Carriquiry & Gabriel Camano-Garcia, 2005. "Assessing the Nutrient Intakes of Vulnerable Subgroups," Mathematica Policy Research Reports 7bec830f54a04b0491011e3ba, Mathematica Policy Research.
    16. Ching-Yun Wang & Jean de Dieu Tapsoba & Catherine Duggan & Anne McTiernan, 2024. "Generalized Linear Models with Covariate Measurement Error and Zero-Inflated Surrogates," Mathematics, MDPI, vol. 12(2), pages 1-14, January.
    17. Zhang Saijuan & Krebs-Smith Susan M. & Midthune Douglas & Perez Adriana & Buckman Dennis W. & Kipnis Victor & Freedman Laurence S. & Dodd Kevin W. & Carroll Raymond J, 2011. "Fitting a Bivariate Measurement Error Model for Episodically Consumed Dietary Components," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-32, January.
    18. Carroll, Raymond J. & Ruppert, David & Welsh, A. H., 1997. "Nonparametric estimation via local estimating equations, with applications to nutrition calibration," SFB 373 Discussion Papers 1997,17, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    19. Harris-Fry, Helen & Lamson, Lauren & Roett, Katelyn & Katz, Elizabeth, 2022. "Reducing gender bias in household consumption data: Implications for food fortification policy," Food Policy, Elsevier, vol. 110(C).
    20. Philip Gleason & Carol Suitor, "undated". "Children's Diets in the Mid-1990s: Dietary Intake and Its Relationship with School Meal Participation," Mathematica Policy Research Reports 8db693ba4d8640ec87d978a34, Mathematica Policy Research.
    21. repec:mpr:mprres:1917 is not listed on IDEAS
    22. repec:mpr:mprres:4777 is not listed on IDEAS
    23. Marc Kennedy & Andy Hart, 2009. "Bayesian Modeling of Measurement Errors and Pesticide Concentration in Dietary Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 29(10), pages 1427-1442, October.
    24. Cornelis J. Potgieter & Rubin Wei & Victor Kipnis & Laurence S. Freedman & Raymond J. Carroll, 2016. "Moment reconstruction and moment‐adjusted imputation when exposure is generated by a complex, nonlinear random effects modeling process," Biometrics, The International Biometric Society, vol. 72(4), pages 1369-1377, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mpr:mprres:6c99580fa94443459f3cbd00578ced06. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joanne Pfleiderer or Cindy George (email available below). General contact details of provider: https://edirc.repec.org/data/mathius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.