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Some Alternatives to Asymptotic Tests for the Analysis of Pharmacogenetic Data Using Nonlinear Mixed Effects Models

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  • Julie Bertrand
  • Emmanuelle Comets
  • Marylore Chenel
  • France Mentré

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  • Julie Bertrand & Emmanuelle Comets & Marylore Chenel & France Mentré, 2012. "Some Alternatives to Asymptotic Tests for the Analysis of Pharmacogenetic Data Using Nonlinear Mixed Effects Models," Biometrics, The International Biometric Society, vol. 68(1), pages 146-155, March.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:1:p:146-155
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01665.x
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    References listed on IDEAS

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    1. Faes, Christel & Molenberghs, Geert & Aerts, Marc & Verbeke, Geert & Kenward, Michael G., 2009. "The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method," The American Statistician, American Statistical Association, vol. 63(4), pages 389-399.
    2. Gallant, A. Ronald, 1975. "Seemingly unrelated nonlinear regressions," Journal of Econometrics, Elsevier, vol. 3(1), pages 35-50, February.
    3. Routledge, R. D., 1997. "P-values from permutation and F-tests," Computational Statistics & Data Analysis, Elsevier, vol. 24(4), pages 379-386, June.
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    Cited by:

    1. Comets, Emmanuelle & Lavenu, Audrey & Lavielle, Marc, 2017. "Parameter Estimation in Nonlinear Mixed Effect Models Using saemix, an R Implementation of the SAEM Algorithm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 80(i03).

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