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Testing effect of a drug using multiple nested models for the dose–response

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  • C. Baayen
  • P. Hougaard
  • C. B. Pipper

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  • C. Baayen & P. Hougaard & C. B. Pipper, 2015. "Testing effect of a drug using multiple nested models for the dose–response," Biometrics, The International Biometric Society, vol. 71(2), pages 417-427, June.
    • Handle: RePEc:bla:biomet:v:71:y:2015:i:2:p:417-427
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    File URL: http://hdl.handle.net/10.1111/biom.12276
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    References listed on IDEAS

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    1. 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.
    2. Christian Ritz & Ib M. Skovgaard, 2005. "Likelihood ratio tests in curved exponential families with nuisance parameters present only under the alternative," Biometrika, Biometrika Trust, vol. 92(3), pages 507-517, September.
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    Cited by:

    1. Georg Gutjahr & Björn Bornkamp, 2017. "Likelihood ratio tests for a dose-response effect using multiple nonlinear regression models," Biometrics, The International Biometric Society, vol. 73(1), pages 197-205, March.

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