Table 1.
Simulation results for exponentially distributed data with 
, with 
observations per simulation and 300 simulation sets
|
|
|||||
|---|---|---|---|---|---|---|
|
Model |
|
|
|
|
|
| 0 | Poisson regression | 0.998 | 0.054 | 0.679 | 0.053 | |
| Cox regression | 0.999 | 0.054 | 0.663 | 0.053 | ||
| Smooth AFT |
0.998 |
0.055 |
0.962 |
0.079 | ||
| 0.1 | Poisson regression | 0.998 | 0.054 | 0.901 | 0.054 | |
| Cox regression | 0.999 | 0.055 | 0.880 | 0.054 | ||
| Smooth AFT |
0.998 |
0.056 |
1.278 |
0.083 | ||
0.1 |
Poisson regression | 0.998 | 0.053 | 0.464 | 0.052 | |
| Cox regression | 0.999 | 0.054 | 0.454 | 0.052 | ||
| Smooth AFT |
0.998 |
0.055 |
0.657 |
0.077 | ||
The regression models assume that both covariates are modeled (
) or that only the 
covariate is modeled (
). The expectations for the estimated 
and their standard errors are over the simulation sets.