Table 1: Simulation results for the population-averaged BMD when σu is 0.1 and 0.5
k |
Method |
σu = 0.1 |
σu = 0.5 |
||||||
Mean |
Bias |
RMSE |
Coverage |
Mean |
Bias |
RMSE |
Coverage |
||
3 |
GEE-ind |
0.0849 |
0.0012 |
0.0102 |
0.8560 |
0.0834 |
0.0039 |
0.0195 |
0.8360 |
GEE-exc |
0.0847 |
0.0010 |
0.0105 |
0.8540 |
0.0839 |
0.0044 |
0.0199 |
0.8290 |
|
GLMM-marg |
0.0847 |
0.0010 |
0.0102 |
0.9990 |
0.0828 |
0.0033 |
0.0194 |
0.9700 |
|
GLMM-app |
0.0849 |
0.0012 |
0.0102 |
0.9990 |
0.0835 |
0.0040 |
0.0195 |
0.9670 |
|
META |
0.0831 |
-0.0006 |
0.0101 |
0.9540 |
0.0818 |
0.0023 |
0.0192 |
0.9610 |
|
9 |
GEE-ind |
0.0842 |
0.0005 |
0.0060 |
0.9180 |
0.0819 |
0.0024 |
0.0114 |
0.8840 |
GEE-exc |
0.0842 |
0.0005 |
0.0060 |
0.9100 |
0.0824 |
0.0029 |
0.0117 |
0.8840 |
|
GLMM-marg |
0.0842 |
0.0005 |
0.0060 |
0.9940 |
0.0818 |
0.0023 |
0.0124 |
0.9050 |
|
GLMM-app |
0.0842 |
0.0005 |
0.0060 |
0.9940 |
0.0820 |
0.0025 |
0.0114 |
0.8890 |
|
META |
0.0816 |
-0.0021 |
0.0062 |
0.9720 |
0.0813 |
0.0018 |
0.0115 |
0.9510 |
|
15 |
GEE-ind |
0.0840 |
0.0003 |
0.0045 |
0.9290 |
0.0812 |
0.0017 |
0.0088 |
0.9150 |
GEE-exc |
0.0840 |
0.0003 |
0.0046 |
0.9300 |
0.0817 |
0.0022 |
0.0092 |
0.9090 |
|
GLMM-marg |
0.0840 |
0.0003 |
0.0045 |
0.9850 |
0.0811 |
0.0016 |
0.0088 |
0.9150 |
|
GLMM-app |
0.0840 |
0.0003 |
0.0045 |
0.9850 |
0.0814 |
0.0019 |
0.0088 |
0.9070 |
|
META |
0.0811 |
-0.0026 |
0.0052 |
0.9810 |
0.0812 |
0.0017 |
0.0092 |
0.9360 |