Research Article
A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects
Table 6
Simulation result of Example
4.
| Coefficients | Truth | HSpline (s.e.) | PHSpline (s.e.) |
| | 2 | 1.930 (0.120) | 1.977 (0.074) | | 1 | 0.951 (0.102) | 0.997 (0.100) | | 3 | 2.943 (0.089) | 2.979 (0.115) | | 0 | 0.041 (0.081) | 0.012 (0.106) | | 0 | −0.005 (0.072) | −0.009 (0.104) | | 0 | 0.011 (0.096) | 0.008 (0.093) | | 0 | 0.022 (0.103) | 0 (—) | | 0 | −0.009 (0.085) | 0.011 (0.088) | | 0 | 0.008 (0.084) | 0 (—) | | 0 | 0.003 (0.077) | 0 (—) |
|
|