Research Article
A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects
Table 5
Simulation result of Example
3.
| Coefficients | Truth | HSpline (s.e.) | PHSpline (s.e.) |
| | 2 | 2.001 (0.045) | 1.995 (0.043) | | 1 | 1.002 (0.064) | 0.995 (0.061) | | 3 | 2.994 (0.075) | 2.992 (0.074) | | 0 | 0.006 (0.078) | 0.005 (0.043) | | 0 | 0.004 (0.079) | 0.004 (0.053) | | 0 | 0.003 (0.072) | −0.004 (0.060) | | 0 | −0.003 (0.061) | 0 (—) | | 0 | 0.001 (0.058) | 0 (—) | | 0 | −0.002 (0.059) | 0.001 (0.023) | | 0 | 0.0004 (0.042) | 0 (—) |
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