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Modeling Data with Excess Zeros and Measurement Error: Application to Evaluating Relationships between Episodically Consumed Foods and Health Outcomes

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  • 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

Abstract

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Suggested Citation

  • 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.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:4:p:1003-1010
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01223.x
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    References listed on IDEAS

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    1. Liang Li & Jun Shao & Mari Palta, 2005. "A Longitudinal Measurement Error Model with a Semicontinuous Covariate," Biometrics, The International Biometric Society, vol. 61(3), pages 824-830, September.
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    Cited by:

    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. repec:jss:jstsof:46:c03 is not listed on IDEAS
    6. 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).
    7. 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.
    8. repec:mpr:mprres:7903 is not listed on IDEAS
    9. 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.

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    1. 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.

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