| Â | Coef. | Std. error |
P -value |
|---|
Age1
| -38.8418 | 1.0854 | < 0.001 |
Age2
| 0.0005 | 0.0002 | 0.002 |
PM501
| 0.6250 | 0.9878 | < 0.001 |
YB1
| 0.0111 | 0.0026 | < 0.001 |
Constant | -6.0626 | 0.0156 | < 0.001 |
- The dependent variable is the number of observed incidence cases. The model has an offset, which is a term with coefficient constrained to 1. offset = log(exposed) 0.15 CFR, Age1 = (age/10)-2 - 0.0331, Age2 = (age/10)3 - 166.375, PM501 = PM500.5 - 0.4342, YB1 = year-of-birth-1937.5. CFR: completed fertility rate, PM50: proportion of women who were having periodic mammograms for early detection at age 50. Deviance = 482.53. The expected number of incident cases, E(I), can be obtained using the equation: E(I) = exp(-6.0626 - 38.8418 Age1 + 0.0005 Age2 + 0.6250PM501 + 0.0111YB1 + offset).
