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Robust and efficient estimation of effective dose

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  • Karunamuni, Rohana J.
  • Tang, Qingguo
  • Zhao, Bangxin

Abstract

In dose–response studies, experimenters are often interested in estimating the effective dose EDp, the dose at which the probability of response is p,0

Suggested Citation

  • 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.
    • Handle: RePEc:eee:csdana:v:90:y:2015:i:c:p:47-60
    DOI: 10.1016/j.csda.2015.04.001
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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. Pengfei Li & Douglas P. Wiens, 2011. "Robustness of design in dose–response studies," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(2), pages 215-238, March.
    5. Karunamuni, Rohana J. & Wu, Jingjing, 2011. "One-step minimum Hellinger distance estimation," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3148-3164, December.
    6. Tang, Qingguo & Karunamuni, Rohana J., 2013. "Minimum distance estimation in a finite mixture regression model," Journal of Multivariate Analysis, Elsevier, vol. 120(C), pages 185-204.
    7. Huang, Yangxin, 2001. "Interval estimation of the ED50 when a logistic dose-response curve is incorrectly assumed," Computational Statistics & Data Analysis, Elsevier, vol. 36(4), pages 525-537, June.
    8. Dette, Holger & Bretz, Frank & Pepelyshev, Andrey & Pinheiro, José, 2008. "Optimal Designs for Dose-Finding Studies," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 1225-1237.
    9. 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.
    10. Wu, Jingjing & Karunamuni, Rohana J., 2012. "Efficient Hellinger distance estimates for semiparametric models," Journal of Multivariate Analysis, Elsevier, vol. 107(C), pages 1-23.
    11. D. M. Giltinan & T. P. Capizzi & H. Malani, 1988. "Diagnostic Tests for Similar Action of Two Compounds," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 37(1), pages 39-50, March.
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    1. Jingjing Wu & Rohana J. Karunamuni, 2018. "Efficient and robust tests for semiparametric models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(4), pages 761-788, August.

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