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Multiple Hypothesis Testing by Clustering Treatment Effects

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  • Dahl, David B.
  • Newton, Michael A.

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  • Dahl, David B. & Newton, Michael A., 2007. "Multiple Hypothesis Testing by Clustering Treatment Effects," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 517-526, June.
    • Handle: RePEc:bes:jnlasa:v:102:y:2007:m:june:p:517-526
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    Cited by:

    1. Brian J. Reich & Howard D. Bondell, 2011. "A Spatial Dirichlet Process Mixture Model for Clustering Population Genetics Data," Biometrics, The International Biometric Society, vol. 67(2), pages 381-390, June.
    2. Francesco Denti & Michele Guindani & Fabrizio Leisen & Antonio Lijoi & William Duncan Wadsworth & Marina Vannucci, 2021. "Two‐group Poisson‐Dirichlet mixtures for multiple testing," Biometrics, The International Biometric Society, vol. 77(2), pages 622-633, June.
    3. Richard F. MacLehose & David B. Dunson, 2010. "Bayesian Semiparametric Multiple Shrinkage," Biometrics, The International Biometric Society, vol. 66(2), pages 455-462, June.
    4. Lianming Wang & David B. Dunson, 2010. "Semiparametric Bayes Multiple Testing: Applications to Tumor Data," Biometrics, The International Biometric Society, vol. 66(2), pages 493-501, June.
    5. Marín, J.M. & Rodríguez-Bernal, M.T., 2012. "Multiple hypothesis testing and clustering with mixtures of non-central t-distributions applied in microarray data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1898-1907.
    6. Gilbert W. Fellingham & Jared D. Fisher, 2018. "Predicting Home Run Production in Major League Baseball Using a Bayesian Semiparametric Model," The American Statistician, Taylor & Francis Journals, vol. 72(3), pages 253-264, July.
    7. Xiao Li & Michele Guindani & Chaan S. Ng & Brian P. Hobbs, 2021. "A Bayesian nonparametric model for textural pattern heterogeneity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(2), pages 459-480, March.
    8. Michele Guindani & Peter Müller & Song Zhang, 2009. "A Bayesian discovery procedure," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(5), pages 905-925, November.
    9. Rodríguez Bernal, M. T., 2010. "Multiple hypothesis testing and clustering with mixtures of non-central t-distributions applied in microarray data analysis," DES - Working Papers. Statistics and Econometrics. WS ws104427, Universidad Carlos III de Madrid. Departamento de Estadística.
    10. Scott, James G., 2012. "Benchmarking historical corporate performance," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1795-1807.

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