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Optimal Partitioning for Linear Mixed Effects Models: Applications to Identifying Placebo Responders

Author

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  • Tarpey, Thaddeus
  • Petkova, Eva
  • Lu, Yimeng
  • Govindarajulu, Usha
Abstract
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Suggested Citation

  • Tarpey, Thaddeus & Petkova, Eva & Lu, Yimeng & Govindarajulu, Usha, 2010. "Optimal Partitioning for Linear Mixed Effects Models: Applications to Identifying Placebo Responders," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 968-977.
    • Handle: RePEc:bes:jnlasa:v:105:i:491:y:2010:p:968-977
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    File URL: http://pubs.amstat.org/doi/abs/10.1198/jasa.2010.ap08713
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    Cited by:

    1. Long-Hao Xu & Yinan Li & Kai-Tai Fang, 2024. "The resampling method via representative points," Statistical Papers, Springer, vol. 65(6), pages 3621-3649, August.
    2. Shun Matsuura & Thaddeus Tarpey, 2020. "Optimal principal points estimators of multivariate distributions of location-scale and location-scale-rotation families," Statistical Papers, Springer, vol. 61(4), pages 1629-1643, August.
    3. Shun Matsuura & Hiroshi Kurata, 2014. "Principal points for an allometric extension model," Statistical Papers, Springer, vol. 55(3), pages 853-870, August.

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