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Table 2 Comparison of age-period-cohort submodels for lung cancer incidence

From: Trends and predictions of lung cancer incidence in Jiangsu Province, China, 2009–2030: a bayesian age-period-cohort modelling study

Terms in model

Resid. DF

Residual

Residual Deviance

Deviance

P value

Age

173

1074.14

   

Age-drift

172

728.96

1

345.18

P < 0.001

Age-Cohort

167

585.56

5

143.40

P < 0.001

Age-Period-Cohort

162

546.77

5

38.79

P < 0.001

Age-Period

167

685.96

5

139.18

P < 0.001

Age-drift

172

728.96

5

43.01

P < 0.001

  1. Resid. DF: residual degrees of freedom