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Table 4 Effect of the explanatory variables on breast cancer mortality in women younger than 50.

From: Municipal distribution of breast cancer mortality among women in Spain

Variable

Conventional Poisson regression model

Bayesian model (Besag-York-Molliè)

Three factor model

RR

95% Confidence Interval

RR

95% Credibility Interval

Socio-economic index

    

   per 1 unit

1.002

0.974–1.029

0.992

0.967–1.016

Rurality

    

   Change per category1

0.978

0.965–0.992

0.978

0.965–0.991

% Population >=65

    

   Change per 10%

1.004

0.998–1.011

1.004

0.998–1.011

Final model

    

Rurality

    

   Change per category1

0.981

0.968–0.993

0.982

0.977–0.993

  1. 1 Categories: 0 = > 500.000 inhabitants, 1 = 100.001–500.000, 2 = 50.001–100.000, 3 = 20.001–50.000, 4 = 10.001–20.000, 5 = 5.001–10.000, 6 = 2.001–5.000, 7 = 1.001–2.000, 8 = 501–1.000, 9 = 101–500, 10 = <100 inhabitants.