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Table 3 Model selection based on Deviance Information Criterion (DIC)

From: 40 years of progress in female cancer death risk: a Bayesian spatio-temporal mapping analysis in Switzerland

Deviance Information Criterion (DIC)

Age group

<55

55-74

75+

<55

55-74

75+

<55

55-74

75+

<55

55-74

75 N

Model

Breast cancer

Uterine cancer

Cervical cancer

Ovarian cancer

1: P/1re

13,430

20,328

18,161

2,140

8,521

8,327

4,300

5,459

4,167

5,417

11,887

9,404

2: NB/1re

13,462

20,373

18,216

2,149

8,542

8,345

4,312

5,473

4,179

5,430

11,912

9,432

3: P/2re

13,457

20,371

18,212

2,142

8,539

8,345

4,309

5,469

4,180

5,431

11,920

9,424

4: NBN2re

13,494

20,428

18,275

2,149

8,562

8,371

4,325

5,488

4,196

5,449

11,951

9,457

  1. Lowest DIC values per cancer site and age group are highlighted in bold face. Models 1 and 3 are Poisson regression models (P), models 2 and 4 negative binomial (NB). Models 1 and 2 have one spatially structured random effect (re), models 3 and 4 an additional, unstructured random effect
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BMC Cancer

ISSN: 1471-2407

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