A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects

Table 3

Simulation result of Example 1.

Coefficients	Truth	HSpline (s.e.)	PHKernel (s.e.)	PHSpline (s.e.)
	7.7	7.741 (0.043)	7.724 (0.139)	7.704 (0.048)
	4.6	4.529 (0.059)	4.562 (0.179)	4.588 (0.062)
	3.8	3.930 (0.060)	3.830 (0.200)	3.806 (0.078)
	2.9	2.800 (0.079)	2.878 (0.177)	2.883 (0.086)
	5.3	5.363 (0.081)	5.311 (0.144)	5.298 (0.090)
	0	−0.031 (0.048)	0 (—)	0 (—)
	0	−0.001 (0.076)	0 (—)	0 (—)
	0	−0.040 (0.109)	0 (—)	0 (—)
	0	−0.004 (0.040)	0 (—)	0 (—)
	0	−0.001 (0.063)	0 (—)	0 (—)