Table 4.
Mean Absolute Bias Across Classes for Outcome Means E(Y|C) of Continuous Distal Outcomes
| Distribution: | Homoskedastic | Heteroskedastic | Exponential | |||
|---|---|---|---|---|---|---|
|
| ||||||
| Classes: | Even | Uneven | Even | Uneven | Even | Uneven |
| Unadjusted (Modal) | 0.020 | 0.029 | 0.040 | 0.059 | 0.028 | 0.040 |
| (Proportional) | 0.029 | 0.047 | 0.057 | 0.093 | 0.039 | 0.063 |
| ML (Modal) | 0.001 | 0.003 | 0.367 | 0.338 | 0.044 | 0.329 |
| (Proportional) | 0.001 | 0.003 | 0.307 | 0.724 | 0.077 | 0.767 |
| BCH | 0.001 | 0.003 | 0.001 | 0.008 | 0.003 | 0.008 |
| Inclusive (Modal) | 0.008 | 0.015 | 0.487 | 0.153 | 0.009 | 0.018 |
| (Proportional) | 0.001 | 0.001 | 0.475 | 0.134 | 0.003 | 0.006 |
| Quadratic (Modal) | 0.008 | 0.015 | 0.015 | 0.027 | 0.008 | 0.019 |
| (Proportional) | 0.001 | 0.001 | 0.002 | 0.002 | 0.002 | 0.006 |
| Oracle | 0.001 | 0.001 | 0.002 | 0.003 | 0.002 | 0.003 |
Note. This table contains results only for scenarios with large effect size and poor measurement. For BCH, only modal assignment is shown, because modal and proportional assignment were found to give identical results in LatentGOLD for continuous distal outcomes.