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. Author manuscript; available in PMC: 2006 Aug 21.
Published in final edited form as: Comput Stat Data Anal. 2006 Aug;50(12):3663–3680. doi: 10.1016/j.csda.2005.08.008

Table 3.

SAS output listing from PROC NLMIXED code

The NLMIXED procedure Specifications
Specifications
Data Set COUPLESHCV
Dependent Variable aHCV
Distribution for Dependent Variable Binary
Random Effects u
Distribution for Random Effects Normal
Subject Variable id
Optimization Technique Newton-Raphson
Integration Method Adaptive Gaussian
Quadrature
Dimensions
Observations Used 530
Observations Not Used 0
Total Observations 530
Subjects 265
Max Obs Per Subject 2
Parameters 6
Quadrature Points 20
Parameters
beta0 beta1 beta2 beta3 beta4 s2u NegLogLike
-1.794 -0.1762 3.0536 0.0562 0.0162 0.04178 264.187725
Iteration history
Iter Calls NegLogLike Diff MaxGrad Slope
1 16 260.334592 3.853133 11.49504 - 6.05858
2 24 258.901004 1.433588 2.728152 - 2.31961
3 32 258.565145 0.335859 0.546435 - 0.57772
4 40 258.536421 0.028725 0.072913 - 0.05392
5 48 258.536111 0.00031 0.000997 - 0.00061
6 56 258.536111 4.428E-8 5.86E-8 - 8.86E-8
NOTE: GCONV convergence criterion satisfied.
Fit statistics
-2 Log Likelihood 517.1
AIC (smaller is better) 529.1
AICC (smaller is better) 529.2
BIC (smaller is better) 550.6
Parameter estimates
Parameter Estimate Standard Error DF t Value Pr<|t| Alpha Lower Upper Gradient
beta0 - 2.3458 0.3747 264 - 6.26 <.0001 0.05 - 3.0837 - 1.6080 2.342E-8
beta1 - 0.2187 0.2515 264 - 0.87 0.3854 0.05 - 0.7139 0.2765 9.256E-9
beta2 4.0416 0.5053 264 8.00 <.0001 0.05 3.0466 5.0365 5.153E-8
beta3 0.06592 0.02039 264 3.23 0.0014 0.05 0.02577 0.1061 - 5.69E-8
beta4 0.02031 0.008921 264 2.28 0.0236 0.05 0.002743 0.03787 - 3.92E-8
s2u 2.0291 0.9356 264 2.17 0.0310 0.05 0.1869 3.8713 - 5.86E-8