From: No rationale for 1 variable per 10 events criterion for binary logistic regression analysis
EPV | 15 to 30 | 35 to 50 | 55 to 150 | |||
---|---|---|---|---|---|---|
Separated data removed | Yes | No | Yes | No | Yes | No |
Bias | ||||||
Average bias | -0.097 | 2.255 | 0.083 | 0.161 | 0.051 | 0.053 |
max | 0.091 | 7.074 | 0.127 | 0.439 | 0.084 | 0.096 |
min | -0.556 | 0.234 | 0.050 | 0.056 | 0.048 | 0.022 |
Average relative bias (%) | -0.087 | 2.110 | 0.079 | 0.145 | 0.048 | 0.049 |
max | 0.091 | 5.103 | 0.095 | 0.317 | 0.061 | 0.069 |
min | -0.401 | 0.338 | 0.069 | 0.081 | 0.032 | 0.032 |
Coverage 90% CI | ||||||
Average coverage (%) | 92.7 | 93.4 | 89.1 | 89.1 | 90.4 | 90.4 |
max | 98.3 | 98.8 | 90.6 | 90.6 | 91.8 | 91.8 |
min | 89.7 | 89.8 | 87.9 | 87.9 | 89.2 | 89.2 |
> ± 1% nominal (%) | 75 | 75 | 50 | 37.5 | 25 | 25 |
Average width | 4.087 | 4437.2 | 2.656 | 49.2 | 2.005 | 2.645 |
Mean Square Error | ||||||
Average MSE | 1.251 | 64.571 | 0.709 | 2.243 | 0.397 | 0.422 |
Separated data sets | ||||||
Total (%) | 13.2 | 4.2 | 0.006 |