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Accounting for Multiplicities in Assessing Drug Safety: A Three-Level Hierarchical Mixture Model

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  • Scott M. Berry
  • Donald A. Berry

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  • Scott M. Berry & Donald A. Berry, 2004. "Accounting for Multiplicities in Assessing Drug Safety: A Three-Level Hierarchical Mixture Model," Biometrics, The International Biometric Society, vol. 60(2), pages 418-426, June.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:2:p:418-426
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00186.x
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    Cited by:

    1. Federica Licari & Alessandra Mattei, 2020. "Assessing causal effects of extra compulsory learning on college students’ academic performances," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1595-1614, October.
    2. Klingenberg, Bernhard & Satopää, Ville, 2013. "Simultaneous confidence intervals for comparing margins of multivariate binary data," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 87-98.
    3. Bradley W. McEvoy & Rajesh R. Nandy & Ram C. Tiwari, 2013. "Bayesian Approach for Clinical Trial Safety Data Using an Ising Prior," Biometrics, The International Biometric Society, vol. 69(3), pages 661-672, September.

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