Research Article
A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects
Table 8
Simulation result of Example
6.
| Coefficients | Truth | HSpline (s.e.) | PHSpline (s.e.) |
| | 2 | 1.990 (0.063) | 1.982 (0.071) | | 1 | 0.992 (0.070) | 0.984 (0.096) | | 3 | 2.973 (0.089) | 2.972 (0.106) | | 0 | 0.022 (0.061) | 0.017 (0.085) | | 0 | 0.019 (0.072) | −0.023 (0.090) | | 0 | 0.004 (0.089) | 0.019 (0.079) | | 0 | −0.041 (0.080) | 0.002 (0.078) | | 0 | 0.031 (0.067) | 0.001 (0.061) | | 0 | −0.014 (0.071) | 0.001 (0.073) | | 0 | 0.009 (0.087) | −0.001 (0.015) |
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