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A Bayesian Adjustment for Multiplicative Measurement Errors for a Calibration Problem with Application to a Stem Cell Study

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  • Peng Zhang
  • Juxin Liu
  • Jianghu Dong
  • Jelena L. Holovati
  • Brenda Letcher
  • Locksley E. McGann

Abstract

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Suggested Citation

  • Peng Zhang & Juxin Liu & Jianghu Dong & Jelena L. Holovati & Brenda Letcher & Locksley E. McGann, 2012. "A Bayesian Adjustment for Multiplicative Measurement Errors for a Calibration Problem with Application to a Stem Cell Study," Biometrics, The International Biometric Society, vol. 68(1), pages 268-274, March.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:1:p:268-274
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01641.x
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    References listed on IDEAS

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    1. Sturtz, Sibylle & Ligges, Uwe & Gelman, Andrew, 2005. "R2WinBUGS: A Package for Running WinBUGS from R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i03).
    2. Juxin Liu & Paul Gustafson, 2008. "On Average Predictive Comparisons and Interactions," International Statistical Review, International Statistical Institute, vol. 76(3), pages 419-432, December.
    3. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
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    Cited by:

    1. Richard T. Carson & Jacob LaRiviere, 2018. "Structural Uncertainty and Pollution Control: Optimal Stringency with Unknown Pollution Sources," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 337-355, October.

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