Table 1 Bias (bold font), coverage (italics font) and MSE (normal font) for simulation scenario 1 comparing the non parametric Pohar Perme estimator, a conditional model (without covariates), regression standardization under proportional hazards (PH), regression standardization under non-proportional hazards (Non PH) and a marginal model. Bias is expressed as a difference in probabilities
Years from diagnosis) | |||
|---|---|---|---|
Method | 1 | 5 | 10 |
Pohar Perme | 0.0005 | 0.0006 | 0.0006 |
95.4 | 95.1 | 95.4 | |
198.676 | 302.290 | 430.220 | |
Conditional Model | 0.0261 | 0.0486 | 0.0457 |
53.6 | 19.5 | 29.3 | |
873.184 | 2653.730 | 2450.234 | |
Regression standardization (PH) | -0.0044 | -0.0093 | -0.0202 |
92.5 | 93.5 | 80.7 | |
204.942 | 353.266 | 737.678 | |
Regression standardization (Non PH) ∗ | 0.0025 | 0.0016 | -0.0006 |
93.6 | 97.2 | 96.5 | |
188.909 | 283.351 | 381.325 | |
Marginal model | 0.0032 | 0.0020 | 0.0018 |
95.7 | 95.7 | 95.5 | |
192.043 | 288.790 | 420.932 | |
Relative % increase in precision + | |||
Regression standardization (PH) | 7.2 | 12.9 | 30.0 |
Regression standardization (Non PH) ∗ | 8.6 | 7.6 | 12.9 |
Marginal model | 9.0 | 6.0 | 3.0 |