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. Author manuscript; available in PMC: 2014 Aug 1.
Published in final edited form as: Am Stat. 2013 Sep 11;67(3):10.1080/00031305.2013.817357. doi: 10.1080/00031305.2013.817357

Table 2.

Simulation results for the two-level logistic model:the average of parameter estimates (RMSE).

Software SAS GLIMMIX R lme4 HLM SuperMix Stata xtmelogit





Estimation PQL Laplace AGQ-10 Laplace AGQ-10 PQL Laplace6 AGQ-10 Laplace AGQ-10
True Values Regression Coefficients
β0= −1.2 −1.146
(0.301)
−1.227
(0.318)
−1.228
(0.318)
−1.223
(0.319)
−1.219
(0.315)
−1.146
(0.296)
−1.223
(0.315)
−1.228
(0.317)
−1.190
(0.394)
−1.217
(0.307)
β1= 1.0 0.930
(0.147)
1.002
(0.141)
1.003
(0.141)
0.999
(0.140)
0.996
(0.139)
0.930
(0.129)
0.999
(0.140)
1.003
(0.141)
0.973
(0.131)
0.977
(0.130)
β2= 1.0 0.940
(0.102)
0.990
(0.088)
0.991
(0.088)
0.999
(0.088)
0.988
(0.088)
0.940
(0.082)
0.989
(0.087)
0.991
(0.087)
0.969
(0.230)
0.992
(0.089)
β3= −0.5 −0.403
(0.449)
−0.431
(0.474)
−0.431
(0.473)
−0.430
(0.473)
−0.429
(0.467)
−0.403
(0.438)
−0.428
(0.465)
−0.431
(0.468)
−0.391
(0.442)
−0.390
(0.440)

Variance-Covariance Matrix of Random Effects
θ00= 3.0 2.698
(0.694)
2.990
(0.721)
3.018
(0.729)
2.986
(0.722)
2.959
(0.713)
2.698
(0.625)
2.969
(0.715)
3.018
(0.728)
3.032
(0.820)
3.061
(0.760)
θ01= −0.69 −0.573
(0.267)
−0.666
(0.280)
−0.677
(0.282)
−0.664
(0.280)
−0.680
(0.259)
−0.573
(0.240)
−0.660
(0.275)
−0.677
(0.282)
−0.696
(0.285)
−0.707
(0.279)
θ02= 0.23 0.205
(0.134)
0.228
(0.150)
0.226
(0.151)
0.228
(0.150)
0.223
(0.149)
0.205
(0.131)
0.230
(0.149)
0.227
(0.151)
0.233
(0.151)
0.232
(0.151)
θ11= 1.00 0.861
(0.250)
0.979
(0.245)
0.991
(0.247)
0.978
(0.243)
0.962
(0.235)
0.861
(0.208)
0.973
(0.243)
0.991
(0.247)
0.986
(0.270)
1.005
(0.240)
θ12=
0.00045
0.00423
(0.07955)
0.00681
(0.09136)
0.00949
(0.09265)
0.00671
(0.09119)
0.00460
(0.09248)
0.00423
(0.07946)
0.00755
(0.09133)
0.00947
(0.09221)
0.00575
(0.09028)
0.00842
(0.09197)
θ22=0.2 0.177
(0.064)
0.193
(0.067)
0.199
(0.068)
0.193
(0.068)
0.188
(0.067)
0.177
(0.060)
0.185
(0.067)
0.199
(0.068)
0.195
(0.070)
0.202
(0.069)