Table 2.
Standard error in log scale (n = 1500)
|
RR |
Prob (Y = 1) |
Contamination rate |
Association bet Z and Y: Linear |
Association bet Z and Y: Linear |
Association bet Z and Y: Non-Linear |
Association bet Z and Y: Non-Linear |
||||
|---|---|---|---|---|---|---|---|---|---|---|
|
Level of association bet Z and X, Z and Y: Moderate |
Level of association bet Z and X, Z and Y: Strong |
Level of association bet Z and X, Z and Y: Moderate |
Level of association bet Z and X, Z and Y: Strong |
|||||||
| LB | RP | LB | RP | LB | RP | LB | RP | |||
| 1.5 |
10% |
0% |
0.16 |
0.16 |
0.16 |
0.16 |
0.16 |
0.16 |
0.16 |
0.16 |
| 2% |
0.14 |
0.14 |
0.14 |
0.14 |
0.15 |
0.14 |
0.14 |
0.14 |
||
| 5% |
0.13 |
0.12 |
0.13 |
0.12 |
0.15 |
0.13 |
0.15 |
0.13 |
||
| 25% |
0% |
0.10 |
0.10 |
0.09 |
0.09 |
0.09 |
0.09 |
0.09 |
0.09 |
|
| 2% |
0.09 |
0.09 |
0.09 |
0.09 |
0.09 |
0.09 |
0.09 |
0.09 |
||
| 5% |
0.08 |
0.08 |
0.08 |
0.08 |
0.09 |
0.09 |
0.08 |
0.08 |
||
| 40% |
0% |
0.06 |
0.06 |
0.06 |
0.07 |
0.06 |
0.06 |
0.06 |
0.06 |
|
| 2% |
0.06 |
0.06 |
0.06 |
0.06 |
0.06 |
0.06 |
0.06 |
0.06 |
||
| 5% |
0.06 |
0.06 |
0.06 |
0.06 |
0.06 |
0.06 |
0.06 |
0.06 |
||
| 2.0 |
10% |
0% |
0.17 |
0.17 |
0.16 |
0.16 |
0.16 |
0.16 |
0.17 |
0.17 |
| 2% |
0.15 |
0.15 |
0.15 |
0.15 |
0.16 |
0.15 |
0.15 |
0.15 |
||
| 5% |
0.14 |
0.13 |
0.13 |
0.13 |
0.15 |
0.13 |
0.16 |
0.13 |
||
| 25% |
0% |
0.10 |
0.10 |
0.10 |
0.10 |
0.10 |
0.10 |
0.10 |
0.10 |
|
| 2% |
0.09 |
0.09 |
0.10 |
0.10 |
0.09 |
0.09 |
0.09 |
0.09 |
||
| 5% |
0.09 |
0.09 |
0.09 |
0.09 |
0.09 |
0.08 |
0.08 |
0.09 |
||
| 40% |
0% |
0.07 |
0.07 |
0.07 |
0.07 |
0.07 |
0.07 |
0.07 |
0.07 |
|
| 2% |
0.07 |
0.07 |
0.07 |
0.07 |
0.07 |
0.07 |
0.07 |
0.07 |
||
| 5% | 0.07 | 0.07 | 0.07 | 0.07 | 0.07 | 0.07 | 0.07 | 0.07 | ||
Association between Z and X always linear.
LB: Log-Binomial Model.
RP: Robust Poisson.
Standard error was defined as the empirical standard error of the estimated RR in log scale over all 1,000 simulations.