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Dose–Response Curve Estimation: A Semiparametric Mixture Approach

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  • Ying Yuan
  • Guosheng Yin

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  • Ying Yuan & Guosheng Yin, 2011. "Dose–Response Curve Estimation: A Semiparametric Mixture Approach," Biometrics, The International Biometric Society, vol. 67(4), pages 1543-1554, December.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:4:p:1543-1554
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01620.x
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    References listed on IDEAS

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    1. Dette, Holger & Neumeyer, Natalie & Pilz, Kay F., 2005. "A Note on Nonparametric Estimation of the Effective Dose in Quantal Bioassay," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 503-510, June.
    2. Björn Bornkamp & Katja Ickstadt, 2009. "Bayesian Nonparametric Estimation of Continuous Monotone Functions with Applications to Dose–Response Analysis," Biometrics, The International Biometric Society, vol. 65(1), pages 198-205, March.
    3. Saurabh Mukhopadhyay, 2000. "Bayesian Nonparametric Inference on the Dose Level with Specified Response Rate," Biometrics, The International Biometric Society, vol. 56(1), pages 220-226, March.
    4. F. Bretz & J. C. Pinheiro & M. Branson, 2005. "Combining Multiple Comparisons and Modeling Techniques in Dose-Response Studies," Biometrics, The International Biometric Society, vol. 61(3), pages 738-748, September.
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    Cited by:

    1. Karunamuni, Rohana J. & Tang, Qingguo & Zhao, Bangxin, 2015. "Robust and efficient estimation of effective dose," Computational Statistics & Data Analysis, Elsevier, vol. 90(C), pages 47-60.
    2. Stephen S. M. Lee & Mehdi Soleymani, 2015. "A Simple Formula for Mixing Estimators With Different Convergence Rates," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1463-1478, December.

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