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. 2012 Jan 2;5:10.3402/gha.v5i0.9135. doi: 10.3402/gha.v5i0.9135

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