Table 1.
Results of Simulation Experiment A: Small versus large sample performance of the 2-Stage Estimator, Robins’ G-Estimator with bt = 0, and Robins’ G-Estimator relying on starting guesses for bt from the 2-Stage Estimator. Parameters have true value βtj = 0.45 for all t = 1, 2, 3 and j = 0, 1.
| True 2-Stage Estimator |
Robins’ G-Estimator with bt = 0 for all t |
Robins’ G-Estimator using 2-Stage Guesses |
|||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PMTR | AVG EST | SD | AVG SE | 95% COV | MSE | AVG EST | SD | AVG SE | 95% COV | REL MSE | AVG EST | SD | AVG SE | 95% COV | REL MSE |
| n = 50 | |||||||||||||||
| β1,0 | 0.458 | 0.515 | 0.471 | 91.8 | 0.265 | 0.412 | 0.658 | 0.604 | 92.2 | 1.6 | 0.444 | 0.633 | 0.553 | 89.6 | 1.5 |
| β1,1 | 0.453 | 0.580 | 0.532 | 91.0 | 0.337 | 0.413 | 0.870 | 0.768 | 91.3 | 2.3 | 0.463 | 0.846 | 0.704 | 86.4 | 2.1 |
| β2,0 | 0.441 | 0.536 | 0.455 | 89.4 | 0.287 | 0.413 | 0.603 | 0.557 | 92.9 | 1.3 | 0.457 | 0.564 | 0.422 | 83.9 | 1.1 |
| β2,1 | 0.412 | 0.739 | 0.637 | 90.0 | 0.547 | 0.393 | 0.990 | 0.841 | 90.4 | 1.8 | 0.402 | 0.863 | 0.637 | 84.7 | 1.4 |
| β3,0 | 0.475 | 0.489 | 0.381 | 87.0 | 0.240 | 0.409 | 0.683 | 0.562 | 93.0 | 2.0 | 0.442 | 0.496 | 0.311 | 77.1 | 1.0 |
| β3,1 | 0.430 | 0.634 | 0.493 | 85.8 | 0.402 | 0.404 | 1.155 | 0.893 | 91.7 | 3.3 | 0.483 | 0.688 | 0.422 | 73.7 | 1.2 |
| n = 300 | |||||||||||||||
| β1,0 | 0.451 | 0.175 | 0.169 | 93.2 | 0.031 | 0.430 | 0.242 | 0.232 | 94.6 | 1.9 | 0.438 | 0.236 | 0.225 | 94.1 | 1.8 |
| β1,1 | 0.452 | 0.197 | 0.186 | 93.5 | 0.039 | 0.463 | 0.314 | 0.297 | 92.8 | 2.6 | 0.468 | 0.310 | 0.292 | 93.4 | 2.5 |
| β2,0 | 0.441 | 0.164 | 0.170 | 96.4 | 0.027 | 0.435 | 0.209 | 0.216 | 95.6 | 1.6 | 0.445 | 0.182 | 0.184 | 95.4 | 1.2 |
| β2,1 | 0.456 | 0.229 | 0.222 | 93.8 | 0.053 | 0.449 | 0.336 | 0.330 | 94.7 | 2.2 | 0.454 | 0.279 | 0.266 | 94.1 | 1.5 |
| β3,0 | 0.451 | 0.158 | 0.148 | 93.3 | 0.025 | 0.457 | 0.204 | 0.200 | 94.5 | 1.7 | 0.447 | 0.162 | 0.149 | 92.5 | 1.0 |
| β3,1 | 0.439 | 0.184 | 0.182 | 93.4 | 0.034 | 0.429 | 0.326 | 0.314 | 94.4 | 3.1 | 0.444 | 0.207 | 0.201 | 92.3 | 1.3 |
| n = 1000 | |||||||||||||||
| β1,0 | 0.452 | 0.089 | 0.092 | 95.3 | 0.008 | 0.446 | 0.129 | 0.127 | 94.9 | 2.1 | 0.451 | 0.124 | 0.124 | 94.3 | 1.9 |
| β1,1 | 0.452 | 0.102 | 0.100 | 94.6 | 0.010 | 0.446 | 0.173 | 0.166 | 93.8 | 2.9 | 0.447 | 0.171 | 0.164 | 94.2 | 2.8 |
| β2,0 | 0.449 | 0.091 | 0.092 | 95.9 | 0.008 | 0.449 | 0.119 | 0.117 | 94.8 | 1.7 | 0.450 | 0.102 | 0.101 | 94.7 | 1.3 |
| β2,1 | 0.440 | 0.117 | 0.120 | 95.7 | 0.014 | 0.430 | 0.191 | 0.180 | 92.3 | 2.7 | 0.439 | 0.150 | 0.146 | 94.2 | 1.6 |
| β3,0 | 0.446 | 0.081 | 0.080 | 95.0 | 0.006 | 0.446 | 0.107 | 0.108 | 95.6 | 1.8 | 0.444 | 0.084 | 0.082 | 94.7 | 1.1 |
| β3,1 | 0.454 | 0.099 | 0.099 | 94.8 | 0.010 | 0.451 | 0.175 | 0.169 | 94.2 | 3.2 | 0.456 | 0.114 | 0.112 | 94.0 | 1.3 |
REL MSE denotes mean squared error relative to the 2-Stage Estimator.