Table 4.
Power and robustness study (Scenario IV). L = 8, K = 2000, D = 1000, (ρ13, ρ23) = (.5, .6), β3 = 0.1, σα = 1, σε = .5. Note: The standard deviation (std.dev.) relates to variation across the randomly generated 1000 covariate matrices X. Each number was obtained as the mean over 1000 simulated covariate matrices X and for each generated X, K = 2000 iterations were used to simulate the response vector Y.
m= 500, EN = 1750 |
m = 50, EN = 175 |
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Mean Power | std.dev. | Mean Power | std.dev. | |
Cell Variable x3 | 0.873 | 0.035 | 0.122 | 0.028 |
Wald Test on x3 | 0.059 | 0.024 | 0.065 | 0.026 |
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Misspecification of the error term distribution | ||||
| ||||
εij simulated from t3 | ||||
| ||||
Cell Variable x3 | 0.873 | 0.035 | 0.123 | 0.030 |
Wald Test on x3 | 0.059 | 0.024 | 0.065 | 0.026 |
| ||||
εij simulated from t5 | ||||
| ||||
Cell Variable x3 | 0.873 | 0.035 | 0.122 | 0.029 |
Wald Test on x3 | 0.060 | 0.025 | 0.066 | 0.030 |
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Misspecification of the random effect distribution | ||||
| ||||
αi simulated from t3 | ||||
| ||||
Cell Variable x3 | 0.878 | 0.032 | 0.139 | 0.033 |
Wald Test on x3 | 0.061 | 0.027 | 0.067 | 0.031 |
| ||||
αi simulated from t5 | ||||
| ||||
Cell Variable x3 | 0.872 | 0.035 | 0.126 | 0.030 |
Wald Test on x3 | 0.061 | 0.026 | 0.067 | 0.031 |