Joint variable selection for fixed and random effects in linear mixed-effects models.

@article{Bondell2010JointVS,
  title={Joint variable selection for fixed and random effects in linear mixed-effects models.},
  author={H. Bondell and Arun Krishna and S. Ghosh},
  journal={Biometrics},
  year={2010},
  volume={66 4},
  pages={
          1069-77
        }
}
It is of great practical interest to simultaneously identify the important predictors that correspond to both the fixed and random effects components in a linear mixed-effects (LME) model. Typical approaches perform selection separately on each of the fixed and random effect components. However, changing the structure of one set of effects can lead to different choices of variables for the other set of effects. We propose simultaneous selection of the fixed and random factors in an LME model… Expand

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