Table 2.

Maximum penalized likelihood estimates of Yale infant grown data comparing SCAD and ALASSO penalty functions with random effects and IC_Q penalty estimates

Fixed Estimatea (Variance Estimate of Random Effectb)
		SCAD		ALASSO
Variable	MLEc	RE	ICQ	RE	ICQ
Intercept	7.002* (-)	6.924 (-)	6.988 (-)	6.913 (-)	6.913 (-)
Visit	2.641* (0.230*)	2.576 (0.087)	2.617 (0.109)	2.543 (0.040)	2.548 (0.067)
Age	−0.035 (0.017)	0.000 (0.000)	0.000 (0.007)	0.000 (0.000)	0.000 (0.000)
Gestation	0.528* (0.017)	0.424 (0.000)	0.455 (0.011)	0.322 (0.000)	0.424 (0.000)
Race	−0.060 (-)	0.000 (-)	0.000 (-)	0.000 (-)	0.000 (-)
Pregnant	−0.004 (-)	0.000 (-)	0.000 (-)	0.000 (-)	0.000 (-)
Gender	0.139* (-)	0.022 (-)	0.033 (-)	0.000 (-)	0.000 (-)
Cocaine	0.103* (-)	0.016 (-)	0.022 (-)	0.000 (-)	0.000 (-)
σ2 d	0.512 (-)	0.552 (-)	0.527 (-)	0.612 (-)	0.594 (-)
ICQe	9223.7	11507.32	9660.013	11999.01	11773.25

^ais estimate of β

^bis estimate of diag(D)

^c* indicates significant effects by MLE analysis

^dis the variance estimate of error term of the linear mixed model

^eis a measure of goodness of fit