Research Article
A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects
Table 7
Simulation result of Example
5.
| Coefficients | Truth | HSpline (s.e.) | PHSpline (s.e.) |
| | 2 | 2.012 (0.064) | 1.999 (0.046) | | 1 | 0.988 (0.055) | 1.002 (0.062) | | 3 | 2.986 (0.070) | 3.000 (0.067) | | 0 | 0.003 (0.048) | 0 (—) | | 0 | 0.005 (0.050) | 0 (—) | | 0 | 0.010 (0.062) | 0.001 (0.040) | | 0 | −0.007 (0.079) | −0.003 (0.058) | | 0 | 0.002 (0.070) | 0 (—) | | 0 | 0.006 (0.061) | 0 (—) | | 0 | 0.009 (0.069) | −0.001 (0.014) |
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