Table 3.
Poisson regression analysis on prostate cancer incidence in comparison to the German population, state of Saarland
Model | Variable(s). | Deviance | Difference of deviance* | df | pmodel | β | pβ |
---|---|---|---|---|---|---|---|
0 | (Null model) | 269.5 | – | – | – | ||
1.1 | Calendar year | 265.3 | 4.2 | 1 | 0.04 | –0.09 | 0.04 |
1.2 | Years since immigration | 268.5 | 1.0 | 1 | 0.31 | –0.05 | 0.31 |
1.3 | Age | 266.6 | 2.9 | 1 | 0.09 | –0.17 | 0.08 |
1.4 | Age dichotomized (<60 vs. 60+) | 265.9 | 4.6 | 1 | 0.03 | –0.83 | 0.04 |
2.1 | Calendar year+Age | 262.2 | 7.3 | 2 | 0.03 | –0.09 | 0.03 |
–0.18 | 0.07 | ||||||
2.2 | –0.09 | 0.03 | |||||
Calendar year+Age (<60 vs. 60+) | 261.6 | 7.9 | 2 | 0.02 | |||
–0.84 | 0.04 | ||||||
3.1 | –0.06 | 0.67 | |||||
Calendar year+age+(calendar year)×(age) | 262.1 | 7.4 | 3 | 0.06 | –0.16 | ||
–0.01 | 0.75 | ||||||
–0.11 | 0.01 | ||||||
Calendar year+age(<60 vs. 60+)+ | –0.55 | 0.30 | |||||
3.2 | (calendar year)×(age (<60 vs. 60+)) | 260.5 | 9.0 | 3 | 0.03 | –0.11 | 0.31 |
Relative to null model