Table 3 Deviance table of sex-specific age-period-cohort model.

From: Age-period-cohort analysis of the incidence of multiple sclerosis over twenty years in Lorraine, France

Models

Male deviance table

Female deviance table

Deviance

p

AIC

Deviance

p

AIC

APC

19.620

0.482*

285.076

13.315

0.863*

317.051

AP

40.861

0.163*

280.317

33.280

0.454*

311.015

AC

20.713

0.539*

282.169

19.475

0.616*

319.211

PC

324.017

 < 10–3

569.473

672.247

 < 10–3

955.982

Ad

43.635

0.150*

279.091

39.384

0.280*

313.120

Pd

701.807

 < 10–3

921.263

1787.486

 < 10–3

2045.221

Cd

326.121

 < 10–3

567.578

677.155

 < 10–3

956.890

A

43.842

0.173*

277.298

39.714

0.308*

311.450

P

706.954

 < 10–3

924.411

1890.250

 < 10–3

2145.985

C

326.127

 < 10–3

565.583

678.127

 < 10–3

955.862

t

704.058

 < 10–3

919.514

1793.808

 < 10–3

2047.543

tA

704.065

 < 10–3

917.521

1793.864

 < 10–3

2045.599

tP

709.208

 < 10–3

922.664

1896.548

 < 10–3

2148.284

tC

704.645

 < 10–3

918.101

1804.434

 < 10–3

2056.169

1

709.242

 < 10–3

920.698

1896.951

 < 10–3

2146.687

  1. *p ≥ 0.05.
  2. AIC, Akaike Information Criterion.
  3. All models are defined in the footnote of Fig. 5.
  4. Analysis of the deviance of the sex-specific age-period-cohort models. The p-value of each nested model is analyzed. For p ≥ 0.05, the corresponding model cannot be rejected; the parameters contained in this model may have affected the evolution of MS incidence over the study period. Sub-models at p < 0.05 can be rejected: there is no effect of the parameters contained in this sub-model that is highlighted.
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