Table 3.
Multivariable Poisson regression with independent variables: “calendar year”, “year of MSP implementation”, “years with MSP”
Age 50–59 | Age 60–69 | Age 70–79 | ||||
---|---|---|---|---|---|---|
Estimate | 95% CI | Estimate | 95% CI | Estimate | 95% CI | |
Constant | −7.196 | −7.240 − − 7.152 | −6.950 | − 6.997 − − 6.904 | −6.703 | − 6.715 − − 6.654 |
Calendar year (year-1980) | −0.013 | − 0.016 − − 0.010 | −0.004 | − 0.008 − − 0.001 | −0.002 | − 0.005 – 0.001 |
Year of MSP implementation (year-1980) | −0.005 | − 0.008 − − 0.002 | −0.004 | − 0.008 − − 0.001 | −0.002 | − 0.006 − 0.001 |
Years with MSP (0–31) | − 0.009 | −0.013 − − 0.004 | −0.012 | − 0.017 − − 0.007 | −0.009 | − 0.014 − − 0.004 |
Results of multivariable Poisson regression of the association between “calendar year”, “year of MSP implementation” and “years with MSP” and breast cancer mortality in three different age groups (50–59, 60–69, 70–79). The analysis was performed based on combined data from all 14 western European countries considered in this study. Effect estimates with p-values< 0.001 are indicated in bold.