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Logistic Regression with Exposure Biomarkers and Flexible Measurement Error

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  • Elizabeth A. Sugar
  • Ching-Yun Wang
  • Ross L. Prentice

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  • Elizabeth A. Sugar & Ching-Yun Wang & Ross L. Prentice, 2007. "Logistic Regression with Exposure Biomarkers and Flexible Measurement Error," Biometrics, The International Biometric Society, vol. 63(1), pages 143-151, March.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:1:p:143-151
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2006.00632.x
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    References listed on IDEAS

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    1. Crowder, Martin, 1986. "On Consistency and Inconsistency of Estimating Equations," Econometric Theory, Cambridge University Press, vol. 2(3), pages 305-330, December.
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    Cited by:

    1. C. Y. Wang, 2008. "Non‐parametric Maximum Likelihood Estimation for Cox Regression with Subject‐Specific Measurement Error," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(4), pages 613-628, December.
    2. Pamela A. Shaw & Ross L. Prentice, 2012. "Hazard Ratio Estimation for Biomarker-Calibrated Dietary Exposures," Biometrics, The International Biometric Society, vol. 68(2), pages 397-407, June.
    3. Xiaoqiong Fang & Andy W. Chen & Derek S. Young, 2023. "Predictors with measurement error in mixtures of polynomial regressions," Computational Statistics, Springer, vol. 38(1), pages 373-401, March.
    4. 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.
    5. Colubi, Ana & González-Rodri­guez, Gil & Domi­nguez-Cuesta, Mari­a José & Jiménez-Sánchez, Montserrat, 2008. "Favorability functions based on kernel density estimation for logistic models: A case study," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4533-4543, May.

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